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982 results on '"Hameurlain, Abdelkader"'

1. A Cost-Effective Query Optimizer for Multi-tenant Parallel DBMSs

Author

El Danaoui, Mira, Yin, Shaoyi, Hameurlain, Abdelkader, Morvan, Franck, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Abelló, Alberto, editor, Vassiliadis, Panos, editor, Romero, Oscar, editor, Wrembel, Robert, editor, Bugiotti, Francesca, editor, Gamper, Johann, editor, Vargas Solar, Genoveva, editor, and Zumpano, Ester, editor

Published
2023
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5. A Novel Neurofuzzy Approach for Semantic Similarity Measurement

Author

Martinez-Gil, Jorge, Mokadem, Riad, Küng, Josef, Hameurlain, Abdelkader, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Golfarelli, Matteo, editor, Wrembel, Robert, editor, Kotsis, Gabriele, editor, Tjoa, A Min, editor, and Khalil, Ismail, editor

Published
2021
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9. Big Data Management in the Cloud: Evolution or Crossroad?

Author

Hameurlain, Abdelkader, Morvan, Franck, Diniz Junqueira Barbosa, Simone, Series editor, Chen, Phoebe, Series editor, Du, Xiaoyong, Series editor, Filipe, Joaquim, Series editor, Kara, Orhun, Series editor, Liu, Ting, Series editor, Kotenko, Igor, Series editor, Sivalingam, Krishna M., Series editor, Washio, Takashi, Series editor, Kozielski, Stanisław, editor, Mrozek, Dariusz, editor, Kasprowski, Paweł, editor, Małysiak-Mrozek, Bożena, editor, and Kostrzewa, Daniel, editor

Published
2016
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10. Handling Estimation Inaccuracy in Query Optimization

Author

Moumen, Chiraz, Morvan, Franck, Hameurlain, Abdelkader, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Li, Feifei, editor, Shim, Kyuseok, editor, Zheng, Kai, editor, and Liu, Guanfeng, editor

Published
2016
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11. Adaptive Join Operator for Federated Queries over Linked Data Endpoints

Author

Oguz, Damla, Yin, Shaoyi, Hameurlain, Abdelkader, Ergenc, Belgin, Dikenelli, Oguz, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Pokorný, Jaroslav, editor, Ivanović, Mirjana, editor, Thalheim, Bernhard, editor, and Šaloun, Petr, editor

Published
2016
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12. SDDS Based Hierarchical DHT Systems for an Efficient Resource Discovery in Data Grid Systems

Author

Mokadem, Riad, Morvan, Franck, Hameurlain, Abdelkader, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Simperl, Elena, editor, Norton, Barry, editor, Mladenic, Dunja, editor, Della Valle, Emanuele, editor, Fundulaki, Irini, editor, Passant, Alexandre, editor, and Troncy, Raphaël, editor

Published
2015
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16. Erratum to: Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXVI

Author

Hameurlain, Abdelkader, Küng, Josef, Wagner, Roland, Dang, Tran Khanh, Thoai, Nam, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Hameurlain, Abdelkader, editor, Küng, Josef, editor, Wagner, Roland, editor, Dang, Tran Khanh, editor, and Thoai, Nam, editor

Published
2017
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20. Transactions on Large-Scale Data- and Knowledge-Centered Systems LI: Special Issue on Data Management - Principles, Technologies and Applications

Author

Hameurlain, Abdelkader, Tjoa, A., Pacitti, Esther, Miklos, Zoltan, Optimisation Dynamique de Requêtes Réparties à grande échelle (IRIT-PYRAMIDE), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Toulouse Mind & Brain Institut (TMBI), Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT), Vienna University of Technology (TU Wien), Université de Montpellier (UM), and Université de Rennes (UR)

Subjects
[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], communication channels (information theory), detection algorithm, data mining, artificial intelligence, communication systems, computer hardware, World Wide Web, digital storage, big data, computer systems, computer networks, clustering algorithms, signal processing, computer security
Abstract

International audience; The LNCS journal Transactions on Large-scale Data and Knowledge-centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. This, the 51th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains four fully revised and extended papers selected from the 37th conference on Data Management - Principles, Technologies and Applications, BDA 2021. The topics cover a wide range of timely data management research topics on threats modelling, RDF schema generation, data coverage optimization, data quality and storage on synthetic DNA.

Published
2022

25. Transactions on Large-Scale Data- and Knowledge-Centered Systems: Special Issue on Digital Ecosystems and Social Networks. Vol. XLVII, LNCS 12630

Author

Hameurlain, Abdelkader, Tjoa, A Min, Chbeir, Richard, Optimisation Dynamique de Requêtes Réparties à grande échelle (IRIT-PYRAMIDE), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, Information and Software Engineering Group [Vienna] (IFS), Vienna University of Technology (TU Wien), Université de Pau et des Pays de l'Adour (UPPA), Abdelkader Hameurlain, A Min Tjoa, and Richard Chbeir

Subjects
software architecture, HCI, [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], human-computer interaction, network protocols, data science, signal processing, telecommunication networks, software engineering
Abstract

International audience; Introduction : The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. This, the 47th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, constitutes a special issue focusing on Digital Ecosystems and Social Networks. The 9 revised selected papers cover topics that include Social Big Data, Data Analysis, Cloud-Based Feedback, Experience Ecosystems, Pervasive Environments, and Smart Systems.

Published
2021

26. Transactions on Large-Scale Data- and Knowledge-Centered Systems {XLIV} - Special Issue on Data Management - Principles, Technologies, and Applications

Author

Hameurlain, Abdelkader, Tjoa, A Min, Lamarre, Philippe, Zeitouni, Karine, Optimisation Dynamique de Requêtes Réparties à grande échelle (IRIT-PYRAMIDE), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, Viena University of Technology, Base de Données (BD), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Université Lumière - Lyon 2 (UL2), and Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)

Subjects
[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2020

27. Transactions on Large-Scale Data- and Knowledge-Centered Systems; Vol. XLVI, LNCS 12410

Author

Hameurlain, Abdelkader, Tjoa, A Min, Optimisation Dynamique de Requêtes Réparties à grande échelle (IRIT-PYRAMIDE), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, Information and Software Engineering Group [Vienna] (IFS), and Vienna University of Technology (TU Wien)

Subjects
query languages, [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], databases, cloud federations, parallel processing systems, cloud computing, load shedding, data mining, artificial intelligence, distributed computer systems, Bayesian networks, genomic data management, big data, e-commerce, knowledge-based system, clustering algorithms
Abstract

International audience; The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing (e.g., computing resources, services, metadata, data sources) across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability.This, the 46th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains six fully revised selected regular papers. Topics covered include an elastic framework for genomic data management, medical data cloud federations, temporal pattern mining, scalable schema discovery, load shedding, and selectivity estimation using linked Bayesian networks.

Published
2020

28. Transactions on Large-Scale Data- and Knowledge-Centered Systems XLV: Special Issue on Data Management and Knowledge Extraction in Digital Ecosystems

Author

Hameurlain, Abdelkader, Tjoa, A Min, Chbeir, Richard, Manolopoulos, Yannis, Ishikawa, Hiroshi, Sergio, Ilarri, Papadopoulos, Apostolos, Optimisation Dynamique de Requêtes Réparties à grande échelle (IRIT-PYRAMIDE), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, Information and Software Engineering Group [Vienna] (IFS), Vienna University of Technology (TU Wien), Université de Pau et des Pays de l'Adour (UPPA), Open University of Cyprus, Tokyo Metropolitan University [Tokyo] (TMU), University of Zaragoza - Universidad de Zaragoza [Zaragoza], and Aristotle University of Thessaloniki

Subjects
social networks, [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], databases, information management, data mining, artificial intelligence, computer hardware, telecommunication networks, computer vision, distributed computer systems, telecommunication systems, World Wide Web, machine learning, information technology, big data, network protocols, computer systems, computer networks, internet, computer security
Abstract

International audience; The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing (e.g., computing resources, services, metadata, data sources) across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability.This, the 45th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains eight revised selected regular papers. Topics covered include data analysis, information extraction, blockchains, and big data.

Published
2020

30. Database and Expert Systems Applications - DEXA 2018 International Workshops, BDMICS, BIOKDD, and TIR

Author

Elloumi, Mourad, Granitzer, Michael, Hameurlain, Abdelkader, Seifert, Christin, Stein, Benno, Tjoa, A Min, Wagner, Roland, Laboratoire de Recherche en Technologies de l’Information et de la Communication & Génie Electrique [Tunis] (LaTICE), Université de Tunis-Ecole Supérieure des Sciences et Techniques [Tunis] (ESSTT), University of Passau, Optimisation Dynamique de Requêtes Réparties à grande échelle (IRIT-PYRAMIDE), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, University of Twente [Netherlands], Bauhaus-Universität Weimar, Vienna University of Technology (TU Wien), Institute for Application-oriented Knowledge Processing (FAW), Johannes Kepler University Linz [Linz] (JKU), Elloumi, Mourad, Granitzer, Michael, Hameurlain, Abdelkader, Seifert, Christin, Stein, Benno, Tjoa, A Min, Wagner, Roland, and Grélaud, Françoise

Subjects
[INFO]Computer Science [cs], [INFO] Computer Science [cs]
Abstract

BDMICS 2018 : 3rd International Workshop on Big Data Management in Cloud Systems ; BIOKDD 2018 : 9 th International Workshop on Biological Knowledge Discovery from Data ; TIR 2018 : 15th International Workshop on Technologies for Information Retrieval; International audience; no abstract

Published
2018

31. Database and Expert Systems Applications - Proceedings (Part 1 et 2) of 29th International Conference, DEXA 2018, Regensburg, 03/09/2018 - 06/09/2018

Author

Hartmann, Sven, Ma, Hua, Hameurlain, Abdelkader, Pernuel, Günther, Wagner, Roland, Grélaud, Françoise, Hartmann, Sven, Ma, Hua, Hameurlain, Abdelkader, Pernuel, Günther, Wagner, Roland, Clausthal University of Technology (TU Clausthal), Victoria University of Wellington, Optimisation Dynamique de Requêtes Réparties à grande échelle (IRIT-PYRAMIDE), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, Universität Regensburg (UR), and Johannes Kepler Universität Linz (JKU)

Subjects
query languages, social networks, data privacy, decision support, databases, query processing, social networking, big data analytics, data mining, [INFO] Computer Science [cs], cloud data, search engines, world wide web, relational database, [INFO]Computer Science [cs], internet, computer networks, clustering algorithms, semantics
Abstract

DEXA: International Conference on Database and Expert Systems Applications; International audience; This two volume set of LNCS 11029 and LNCS 11030 constitutes the refereed proceedings of the 29th International Conference on Database and Expert Systems Applications, DEXA 2018, held in Regensburg, Germany, in September 2018. The 35 revised full papers presented together with 40 short papers were carefully reviewed and selected from 160 submissions. The papers of the first volume discuss a range of topics including: Big data analytics; data integrity and privacy; decision support systems; data semantics; cloud data processing; time series data; social networks; temporal and spatial databases; and graph data and road networks. The papers of the second volume discuss a range of the following topics: Information retrieval; uncertain information; data warehouses and recommender systems; data streams; information networks and algorithms; database system architecture and performance; novel database solutions; graph querying and databases; learning; emerging applications; data mining; privacy; and text processing.

Published
2018

32. Gestion de masses de données dans une fédération de nuages informatiques

Author

Le, Trung Dung, Doctorale, Ecole, Hameurlain, Abdelkader, Zeitouni, Karine, A Symbolic and Human-centric view of dAta MANagement (SHAMAN), GESTION DES DONNÉES ET DE LA CONNAISSANCE (IRISA-D7), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Rennes 1, Laurent d'Orazio, and Verena Kantere

Subjects
Cloud federations, Solutions pareto-optimales, [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], Multi-Objective Optimization, Non-dominated Sorting Genetic Algorithm, Optimisation multi-objectifs, Genetic algorithms, Pareto-optimal solutions, La régression linéaire multiple, Algorithmes génétiques, Multiple Linear Regression, Algorithme de tri génétique non dominé, [INFO]Computer Science [cs], [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], Fédérations de nuages
Abstract

Cloud federations can be seen as major progress in cloud computing, in particular in the medical domain. Indeed, sharing medical data would improve healthcare. Federating resources makes it possible to access any information even on a mobile person with distributed hospital data on several sites. Besides, it enables us to consider larger volumes of data on more patients and thus provide finer statistics.Medical data usually conform to the Digital Imaging and Communications in Medicine (DICOM) standard. DICOM files can be stored on different platforms, such as Amazon, Microsoft, Google Cloud, etc. The management of the files, including sharing and processing, on such platforms, follows the pay-as-you-go model, according to distinct pricing models and relying on various systems (Relational Data Management Systems or DBMSs or NoSQL systems). In addition, DICOM data can be structured following traditional (row or column) or hybrid (row-column) data storages. As a consequence, medical data management in cloud federations raises Multi-Objective Optimization Problems (MOOPs) for (1) query processing and (2) data storage, according to users preferences, related to various measures, such as response time, monetary cost, qualities, etc. These problems are complex to address because of heterogeneous database engines, the variability (due to virtualization, large-scale communications, etc.) and high computational complexity of a cloud federation.To solve these problems, we propose a MedIcal system on clouD federAtionS (MIDAS). First, MIDAS extends IReS, an open source platform for complex analytics workflows executed over multi-engine environments, to solve MOOP in the heterogeneous database engines. Second, we propose an algorithm for estimating of cost values in a cloud environment, called Dynamic REgression AlgorithM (DREAM). This approach adapts the variability of cloud environment by changing the size of data for training and testing process to avoid using the expire information of systems. Third, Non-dominated Sorting Genetic Algorithm based on Grid partitioning (NSGA-G) is proposed to solve the problem of MOOP is that the candidate space is large. NSGA-G aims to find an approximate optimal solution, while improving the quality of the optimal Pareto set of MOOP. In addition to query processing, we propose to use NSGA-G to find an approximate optimal solution for DICOM data configuration. We provide experimental evaluations to validate DREAM, NSGA-G with various test problem and dataset. DREAM is compared with other machine learning algorithms in providing accurate estimated costs. The quality of NSGA-G is compared to other NSGAs with many problems in MOEA framework. The DICOM dataset is also experimented with NSGA-G to find optimal solutions. Experimental results show the good qualities of our solutions in estimating and optimizing Multi-Objective Problem in a cloud federation.; Les fédérations de nuages informatiques peuvent être considérées comme une avancée majeure dans l’informatique en nuage, en particulier dans le domaine médical. En effet, le partage de données médicales améliorerait la qualité des soins. La fédération de ressources permettrait d'accéder à toutes les informations, même sur une personne mobile, avec des données hospitalières distribuées sur plusieurs sites. En outre, cela permettrait d’envisager de plus grands volumes de données sur plus de patients et ainsi de fournir des statistiques plus fines.Les données médicales sont généralement conformes à la norme DICOM (Digital Imaging and Communications in Medicine). Les fichiers DICOM peuvent être stockés sur différentes plates-formes, telles qu’Amazon, Microsoft, Google Cloud, etc. La gestion des fichiers, y compris le partage et le traitement, sur ces plates-formes, suit un modèle de paiement à l’utilisation, selon des modèles de prix distincts et en s’appuyant sur divers systèmes de gestion de données (systèmes de gestion de données relationnelles ou SGBD ou systèmes NoSQL). En outre, les données DICOM peuvent être structurées en lignes ou colonnes ou selon une approche hybride (ligne-colonne). En conséquence, la gestion des données médicales dans des fédérations de nuages soulève des problèmes d’optimisation multi-objectifs (MOOP - Multi-Objective Optimization Problems) pour (1) le traitement des requêtes et (2) le stockage des données, selon les préférences des utilisateurs, telles que le temps de réponse, le coût monétaire, la qualités, etc. Ces problèmes sont complexes à traiter en raison de la variabilité de l’environnement (liée à la virtualisation, aux communications à grande échelle, etc.).Pour résoudre ces problèmes, nous proposons MIDAS (MedIcal system on clouD federAtionS), un système médical sur les fédérations de groupes. Premièrement, MIDAS étend IReS, une plate-forme open source pour la gestion de flux de travaux d’analyse sur des environnements avec différents systèmes de gestion de bases de données. Deuxièmement, nous proposons un algorithme d’estimation des valeurs de coût dans une fédération de nuages, appelé Algorithme de régression %multiple linéaire dynamique (DREAM). Cette approche permet de s’adapter à la variabilité de l'environnement en modifiant la taille des données à des fins de formation et de test, et d'éviter d'utiliser des informations expirées sur les systèmes. Troisièmement, l’algorithme génétique de tri non dominé à base de grilles (NSGA-G) est proposé pour résoudre des problèmes d’optimisation multi-crtières en présence d’espaces de candidats de grande taille. NSGA-G vise à trouver une solution optimale approximative, tout en améliorant la qualité du font de Pareto. En plus du traitement des requêtes, nous proposons d'utiliser NSGA-G pour trouver une solution optimale approximative à la configuration de données DICOM.Nous fournissons des évaluations expérimentales pour valider DREAM, NSGA-G avec divers problèmes de test et jeux de données. DREAM est comparé à d'autres algorithmes d'apprentissage automatique en fournissant des coûts estimés précis. La qualité de la NSGA-G est comparée à celle des autres algorithmes NSGA présentant de nombreux problèmes dans le cadre du MOEA. Un jeu de données DICOM est également expérimenté avec NSGA-G pour trouver des solutions optimales. Les résultats expérimentaux montrent les qualités de nos solutions en termes d'estimation et d'optimisation de problèmes multi-objectifs dans une fédération de nuages.

Published
2019

33. Database and Expert Systems Applications - 28th International Conference, DEXA 2017, Lyon, France, Proceedings part I

Author

Benslimane, Djamal, Damiani, Ernesto, Grosky, William I., Hameurlain, Abdelkader, Amit P., Sheth, Wagner, Roland, Service Oriented Computing (SOC), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Université Lumière - Lyon 2 (UL2), Università degli Studi di Milano-Bicocca [Milano] (UNIMIB), University of Michigan [Dearborn], University of Michigan System, Optimisation Dynamique de Requêtes Réparties à grande échelle (IRIT-PYRAMIDE), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, Wright State University, Johannes Kepler University Linz [Linz] (JKU), Benslimane, Djamal, Damiani, Ernesto, Grosky, William I., Hameurlain, Abdelkader, Amit P., Sheth, Wagner, Roland, and Grélaud, Françoise

Subjects
Artificial intelligence, Query processing, Ontology, Keyword search, Natural language processing, Linguistic database model, InformationSystems_DATABASEMANAGEMENT, Data mining and machine learning, [INFO] Computer Science [cs], Social networks, Privacy and Security, Multi-objective optimization, Databases, Web searching and information discovery, Recommender systems, [INFO]Computer Science [cs], Data Clustering, Semantic Web, Web services, Data modeling
Abstract

International audience; The two volume set LNCS 10438 and LNCS 10439 constitutes the refereed proceedings of the 28th International Conference on Database and Expert Systems Applications, DEXA 2017, held in Lyon, France, August 2017. The 37 revised full papers presented together with 40 short papers were carefully reviewed and selected from 166 submissions. The papers discuss a range of topics including: Semantic Web and Semantics; Graph Matching; Data Modeling, Data Abstraction, and Uncertainty; Preferences and Query Optimization; Data Integration and RDF Matching; Security and Privacy; Web Search; Data Clustering; Top-K and Skyline Queries; Data Mining and Big Data; Service Computing; Continuous and Temporal Data, and Continuous Query Language; Text Processing and Semantic Search; Indexing and Concurrency Control Methods; Data Warehouse and Data Stream Warehouse; Data Mining and Machine Learning; Recommender Systems and Query Recommendation; Graph Algorithms; Semantic Clustering and Data Classification

Published
2017

34. Analysing Author Self-Citations in Computer Science Publications

Author

Milz, Tobias, Seifert, Christin, Elloumi, Mourad, Granitzer, Michael, Hameurlain, Abdelkader, Stein, Benno, Min Tjoa, A., and Wagner, Roland

Subjects
Repetition (rhetorical device), Computer science, 05 social sciences, Citations, Medizin, 050905 science studies, Digital library, Domain (software engineering), Self-citations, Informatik, Work (electrical), Order (business), Mathematics education, Position (finance), CORE, DBLP, 0509 other social sciences, 050904 information & library sciences, Analysis
Abstract

In scientific papers, citations refer to relevant previous work in order to underline the current line of argumentation, compare to other work and/or avoid repetition in writing. Self-citations, e.g. authors citing own previous work might have the same motivation but have also gained negative attention w.r.t. unjustified improvement of scientific performance indicators. Previous studies on self-citations do not provide a detailed analysis in the domain of computer science. In this work, we analyse the prevalence of self-citations in the DBLP, a digital library for computer science. We find, that approx. 10% of all citations are self-citations, while the rates vary with year after publication and the position of the author in the list as well as with the gender of the lead author. Further, we find that C-ranked venues have the highest incoming self-citation rate, while the outgoing rate is stable across all ranks.

Published
2018

35. Database and Expert Systems Applications - 29th International Conference, DEXA 2018, Regensburg, 03/09/2018 - 06/09/2018

Author

Hartmann, Sven, Ma, Hua, Hameurlain, Abdelkader, Pernuel, Günther, Wagner, Roland, Optimisation Dynamique de Requêtes Réparties à grande échelle (IRIT-PYRAMIDE), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1)-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1)-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées, Hartmann, Sven and Ma, Hua and Hameurlain, Abdelkader and Pernuel, Günther and Wagner, and Roland

Subjects
[INFO]Computer Science [cs], ComputingMilieux_MISCELLANEOUS
Abstract

International audience; no abstract

Published
2018

36. A native operator for process discovery

Author

Syamsiyah, Alifah, van Dongen, Boudewijn F., Dijkman, Remco M., Pernul, Günther, Hartmann, Sven, Ma, Hui, Hameurlain, Abdelkader, Wagner, Roland R., Information Systems IE&IS, and Process Science

Subjects
Relational database, Process (engineering), Event (computing), Computer science, Process discovery, Process mining, 02 engineering and technology, computer.software_genre, Business process discovery, Operator (computer programming), SQL operator, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, Information system, 020201 artificial intelligence & image processing, Data mining, computer
Abstract

The goal of process mining is to gain insights into operational processes through the analysis of events recorded by information systems. Typically, this is done in three phases. Firstly, events are extracted from a data store into an event log. Secondly, an intermediate structure is built in memory and finally, this intermediate structure is converted into a process model or other analysis results. In this paper, we propose a native SQL operator for direct process discovery on relational databases. We merge steps 1 and 2 by defining a native operator for the simplest form of the intermediate structure, called the “directly follows relation”. We evaluate our work on big event data and the experimental results show that it performs faster than the state-of-the-art of database approaches.

Published
2018

38. Combining web and enterprise data for lightweight data mart construction

Author

Hartmann, Sven, Ma, Hui, Hameurlain, Abdelkader, Pernul, Günther, McCarthy, Suzanne, McCarren, Andrew, Roantree, Mark, Hartmann, Sven, Ma, Hui, Hameurlain, Abdelkader, Pernul, Günther, McCarthy, Suzanne, McCarren, Andrew, and Roantree, Mark

Abstract

The Agri sector has shown an exponential growth in both the requirement for and the production and availability of data. In parallel with this growth, Agri organisations often have a need to integrate their in-house data with international, web-based datasets. Generally, data is freely available from official government sources but there is very little unity between sources, often leading to significant manual overhead in the development of data integration systems and the preparation of reports. While this has led to an increased use of data warehousing technology in the Agri sector, the issues of cost in terms of both time to access data and the financial costs of generating the Extract-Transform-Load layers remain high. In this work, we examine more lightweight data marts in an infrastructure which can support on-demand queries. We focus on the construction of data marts which combine both enterprise and web data, and present an evaluation which verifies the transformation process from source to data mart.

Published
2018
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39. Database and Expert Systems Applications - 28th International Conference, DEXA 2017, Part II

Author

Benslimane, Djamal, Damiani, Ernesto, Grosky, William, Hameurlain, Abdelkader, Sheth, Amit P., Wagner, Roland, Service Oriented Computing (SOC), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Université Lumière - Lyon 2 (UL2), Università degli Studi di Milano-Bicocca [Milano] (UNIMIB), Optimisation Dynamique de Requêtes Réparties à grande échelle (IRIT-PYRAMIDE), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, center for Knowledge enabled Information & Services Science (kno.e.sis), and Johannes Kepler University Linz [Linz] (JKU)

Subjects
[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], [INFO]Computer Science [cs], ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2017

40. An Elastic Data Replication Strategy with Performance and Availability Guarantees in Cloud Systems

Author

Mokadem, Riad, Hameurlain, Abdelkader, Optimisation Dynamique de Requêtes Réparties à grande échelle (IRIT-PYRAMIDE), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, IRIT, and Grélaud, Françoise

Subjects
[INFO]Computer Science [cs], [INFO] Computer Science [cs]
Published
2017

41. An Hybrid Method to Robust Query Processing with Respect to Estimation Errors

Author

Moumen, Chiraz, MORVAN, Franck, Hameurlain, Abdelkader, Optimisation Dynamique de Requêtes Réparties à grande échelle (IRIT-PYRAMIDE), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, IRIT, and Grélaud, Françoise

Subjects
[INFO]Computer Science [cs], [INFO] Computer Science [cs]
Published
2017

42. Database and Expert Systems Applications - 28th International Conference, DEXA 2017, Part 1

Author

Benslimane, Djamal, Damiani, Ernesto, Grosky, William, Hameurlain, Abdelkader, Sheth, Amit P., Wagner, Roland, Service Oriented Computing (SOC), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), and Université de Lyon-Université Lumière - Lyon 2 (UL2)

Subjects
[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2017

46. SLA-driven Cost-effective Query Optimization for Multi-tenant DBMS

Author

Yin, Shaoyi, Hameurlain, Abdelkader, MORVAN, Franck, Grélaud, Françoise, Optimisation Dynamique de Requêtes Réparties à grande échelle (IRIT-PYRAMIDE), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, and IRIT : Institut de Recherche Informatique de Toulouse

Subjects
[INFO]Computer Science [cs], [INFO] Computer Science [cs]
Published
2016

47. Estimation error-aware query optimization: an overview

Author

Moumen, Chiraz, MORVAN, Franck, Hameurlain, Abdelkader, Optimisation Dynamique de Requêtes Réparties à grande échelle (IRIT-PYRAMIDE), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, and Grélaud, Françoise

Subjects
[INFO]Computer Science [cs], [INFO] Computer Science [cs]
Abstract

International audience; The quality of a query execution plan is heavily dependent on the accuracy of estimated statistics. Unfortunately, estimation errors can occur due to the use of invalid assumptions like Attribute Value Independence, outdated statistics, etc. Such errors result in a query execution plan that is suboptimal. Motivated by this issue, a great deal of work on query optimization has been done over the last decades. Several researches were proposed to solve the problem of performance penalty caused by estimation errors. Some researchers suggested revising the cost model so as to improve the accuracy of estimates. Others proposed new optimization algorithms that manage estimation errors. This paper provides an overview of studies that were done as part of the second solution. We identify two main approaches (single-point and multi-point based optimization) and compare them with respect to the most important challenges of query optimization.

Published
2016

48. Transactions on Large-Scale Data- and Knowledge-Centered Systems XXVI - Special Issue on Data Warehousing and Knowledge Discovery (DAWAK 2014)

Author

Hameurlain, Abdelkader, Wagner, Roland, Kung, Josef, Bellatreche, Ladjel, Mohania, Mukesh K., Optimisation Dynamique de Requêtes Réparties à grande échelle (IRIT-PYRAMIDE), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, Johannes Kepler University Linz [Linz] (JKU), Laboratoire d'Informatique et d'Automatique pour les Systèmes (LIAS), Université de Poitiers-ENSMA, and IBM Research - India

Subjects
[INFO]Computer Science [cs]
Abstract

Also part of the Transactions on Large-Scale Data- and Knowledge-Centered Systems book sub series (TLDKS, volume 9670); International audience; Contains extended and revised version of the best papers selected from DaWaK 2014

Published
2016

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