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401 results on '"Chiusano, Silvia"'

1. Machine Learning Methods to Forecast Public Transport Demand Based on Smart Card Validations

Author

Caroleo, Brunella, Chiusano, Silvia, Daraio, Elena, Avignone, Andrea, Gastaldi, Eleonora, Paoletti, Mauro, Arnone, Maurizio, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin, Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Martins, Ana Lucia, editor, Ferreira, Joao C., editor, Kocian, Alexander, editor, Tokkozhina, Ulpan, editor, Helgheim, Berit Irene, editor, and Bråthen, Svein, editor

Published
2024
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3. Characterizing Air-Quality Data Through Unsupervised Analytics Methods

Author

Daraio, Elena, Di Corso, Evelina, Cerquitelli, Tania, Chiusano, Silvia, Barbosa, Simone Diniz Junqueira, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Sivalingam, Krishna M., Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Benczúr, András, editor, Thalheim, Bernhard, editor, Horváth, Tomáš, editor, Chiusano, Silvia, editor, Cerquitelli, Tania, editor, Sidló, Csaba, editor, and Revesz, Peter Z., editor

Published
2018
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5. Towards Automated Visualisation of Scientific Literature

Author

Di Corso, Evelina, Proto, Stefano, Cerquitelli, Tania, Chiusano, Silvia, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Yuan, Junsong, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Welzer, Tatjana, editor, Eder, Johann, editor, Podgorelec, Vili, editor, Wrembel, Robert, editor, Ivanović, Mirjana, editor, Gamper, Johann, editor, Morzy, Mikoƚaj, editor, Tzouramanis, Theodoros, editor, Darmont, Jérôme, editor, and Kamišalić Latifić, Aida, editor

Published
2019
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11. Discovering High-Utility Itemsets at Multiple Abstraction Levels

Author

Cagliero, Luca, Chiusano, Silvia, Garza, Paolo, Ricupero, Giuseppe, Diniz Junqueira Barbosa, Simone, Series editor, Chen, Phoebe, Series editor, Filipe, Joaquim, Series editor, Kotenko, Igor, Series editor, Sivalingam, Krishna M., Series editor, Washio, Takashi, Series editor, Yuan, Junsong, Series editor, Zhou, Lizhu, Series editor, Kirikova, Mārīte, editor, Nørvåg, Kjetil, editor, Papadopoulos, George A., editor, Gamper, Johann, editor, Wrembel, Robert, editor, Darmont, Jérôme, editor, and Rizzi, Stefano, editor

Published
2017
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12. New Trends in Databases and Information Systems: Contributions from ADBIS 2017 Workshops

Author

Behrend, Andreas, Calvanese, Diego, Cerquitelli, Tania, Chiusano, Silvia, Engels, Christiane, Jean, Stéphane, Kozmina, Natalija, Markhoff, Béatrice, Romero, Oscar, Vahdati, Sahar, Diniz Junqueira Barbosa, Simone, Series editor, Chen, Phoebe, Series editor, Filipe, Joaquim, Series editor, Kotenko, Igor, Series editor, Sivalingam, Krishna M., Series editor, Washio, Takashi, Series editor, Yuan, Junsong, Series editor, Zhou, Lizhu, Series editor, Kirikova, Mārīte, editor, Nørvåg, Kjetil, editor, Papadopoulos, George A., editor, Gamper, Johann, editor, Wrembel, Robert, editor, Darmont, Jérôme, editor, and Rizzi, Stefano, editor

Published
2017
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14. New Trends in Databases and Information Systems: Contributions from ADBIS 2013

Author

Ameur, Yamine Ait, Andrzejewski, Witold, Bellatreche, Ladjel, Catania, Barbara, Cerquitelli, Tania, Chiusano, Silvia, Golfarelli, Matteo, Guerrini, Giovanna, Kaczmarski, Krzysztof, Kämpf, Mirko, Kemper, Alfons, Lauer, Tobias, Novikov, Boris, Palpanas, Themis, Pokorný, Jaroslav, Rizzi, Stefano, Vakali, Athena, Kacprzyk, Janusz, Series editor, Catania, Barbara, editor, Cerquitelli, Tania, editor, Chiusano, Silvia, editor, Guerrini, Giovanna, editor, Kämpf, Mirko, editor, Kemper, Alfons, editor, Novikov, Boris, editor, Palpanas, Themis, editor, Pokorný, Jaroslav, editor, and Vakali, Athena, editor

Published
2014
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21. Analysis of Twitter Data Using a Multiple-level Clustering Strategy

Author

Baralis, Elena, Cerquitelli, Tania, Chiusano, Silvia, Grimaudo, Luigi, Xiao, Xin, 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, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Cuzzocrea, Alfredo, editor, and Maabout, Sofian, editor

Published
2013
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22. An Efficient Itemset Mining Approach for Data Streams

Author

Baralis, Elena, Cerquitelli, Tania, Chiusano, Silvia, Grand, Alberto, Grimaudo, Luigi, 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, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, König, Andreas, editor, Dengel, Andreas, editor, Hinkelmann, Knut, editor, Kise, Koichi, editor, Howlett, Robert J., editor, and Jain, Lakhmi C., editor

Published
2011
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23. Diversity and Inclusion Activities in Database Conferences

Author

Amer-Yahia, Sihem, primary, Amsterdamer, Yael, additional, Bhowmick, Sourav S., additional, Bonifati, Angela, additional, Bonnet, Philippe, additional, Borovica-Gajic, Renata, additional, Catania, Barbara, additional, Cerquitelli, Tania, additional, Chiusano, Silvia, additional, Chrysanthis, Panos K., additional, Curino, Carlo, additional, Darmont, Jérôme, additional, El Abbadi, Amr, additional, Floratou, Avrilia, additional, Freire, Juliana, additional, Jindal, Alekh, additional, Kalogeraki, Vana, additional, Koutrika, Georgia, additional, Kumar, Arun, additional, Maiyya, Sujaya, additional, Meliou, Alexandra, additional, Mohanty, Madhulika, additional, Naumann, Felix, additional, Noack, Nele Sina, additional, Özcan, Fatma, additional, Peterfreund, Liat, additional, Rahayu, Wenny, additional, Tan, Wang-Chiew, additional, Tian, Yuanyuan, additional, Tözün, Pinar, additional, Vargas-Solar, Genoveva, additional, Yadwadkar, Neeraja, additional, and Zhang, Meihui, additional

Published
2022
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24. Analysis of Medical Pathways by Means of Frequent Closed Sequences

Author

Baralis, Elena, Bruno, Giulia, Chiusano, Silvia, Domenici, Virna C., Mahoto, Naeem A., Petrigni, Caterina, Hutchison, David, Kanade, Takeo, Kittler, Josef, Kleinberg, Jon M., Mattern, Friedemann, Mitchell, John C., Naor, Moni, Nierstrasz, Oscar, Pandu Rangan, C., Steffen, Bernhard, Sudan, Madhu, Terzopoulos, Demetri, Tygar, Doug, Vardi, Moshe Y., Weikum, Gerhard, Goebel, Randy, Siekmann, Jörg, Wahlster, Wolfgang, Setchi, Rossitza, editor, Jordanov, Ivan, editor, Howlett, Robert J., editor, and Jain, Lakhmi C., editor

Published
2010
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29. Human lunar lander system design, cost estimation and technology roadmaps

Author

Chirulli, Donato, Narducci, Giuseppe, Governale, Giuseppe, Viola, Nicole, Rimani, Jasmine, Fusaro, Roberta, Ferretto, Davide, Chiusano, SILVIA ANNA, Fiori, Alessandro, Orr, Cohen, and Eva-Marie, Dupuy

Subjects
vehicle and mission design, Human Lunar Lander, Human Lunar Lander, vehicle and mission design, Life-Cycle Cost Assessment, Technology Roadmap, Technology Roadmap, Life-Cycle Cost Assessment
Published
2022

32. Embedding Process Structure in Activities for Process Mapping and Comparison

Author

Chiorrini, Andrea, Diamantini, Claudia, Genga, Laura, Pioli, Martina, Potena, Domenico, Chiusano, Silvia, Cerquitelli, Tania, Wrembel, Robert, Nørvåg, Kjetil, Catania, Barbara, Vargas-Solar, Genoveva, Zumpano, Ester, Information Systems IE&IS, and EAISI Health

Subjects
Process model clustering, Process similarity, Activity similarity, Business Process Management
Abstract

Today’s organizations often have to manage hundreds of process models. This requires organizations to be able to efficiently manage process models as a kind of organizational data. Most of previous approaches for process model representation exploit graph data structures to represent (part of) the process control-flow. While these representations work well to analyze the overall process behavior and its KPIs, they are complex data structures which pose some challenges for other kind of analyses requiring, e.g., model comparison. In this paper we explore an alternative approach to representing process structure. We introduce a set of features that describe the context of an activity inside a process, thus embedding the information about the process structure in the activity representation. This representation enables the use of standard vector techniques to capture certain structural similarities among activities and is then suited to support tasks like similarity-based comparison and mapping of processes without resorting to graph-based approaches.

Published
2022

33. Microlauncher design, cost estimation and technology roadmaps

Author

Narducci, Giuseppe, Governale, Giuseppe, Viola, Nicole, Rimani, Jasmine, Fusaro, Roberta, Ferretto, Davide, Chiusano, SILVIA ANNA, Fiori, Alessandro, Orr, Cohen, and Eva-Marie, Dupuy

Subjects
Micro-launchers, vehicle and mission design, Life-Cycle Cost Assessment, Technology Roadmap, Micro-launchers, vehicle and mission design, Technology Roadmap, Life-Cycle Cost Assessment
Published
2022

35. Guest Editorial: Papers selected from European Conference on Advances in Databases and Information Systems.

Author

Vargas-Solar, Genoveva, Catania, Barbara, Zumpano, Ester, Nørvåg, Kjetil, Chiusano, Silvia, Cerquitelli, Tania, and Wrembel, Robert

Abstract

This document is a guest editorial from the journal "Computer Science & Information Systems." It features three extended versions of selected papers from workshops held in conjunction with the European Conference on Advances in Databases and Information Systems (ADBS 2022). The workshops covered various topics, including intelligent data processing, large-scale knowledge graph analysis, modern data engineering, advanced data systems management, and semantic web design for cultural heritage. The selected papers were chosen based on their technical quality, assessed by an international program committee and four specialist reviewers. The papers cover topics such as graph rewriting for semantic graph databases, knowledge graph applications in biology and clinical contexts, and abstract machine implementation for domain-specific languages. The guest editors express their gratitude to the authors, reviewers, and editors for their contributions to this special issue. [Extracted from the article]

Published
2024
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39. IMine: index support for item set mining

Author

Baralis, Elena, Cerquitelli, Tania, and Chiusano, Silvia

Subjects
Data mining -- Evaluation, Indexing -- Evaluation, Data warehousing/data mining, Business, Computers, Electronics, Electronics and electrical industries
Abstract

This paper presents the IMine index, a general and compact structure which provides tight integration of item set extraction in a relational DBMS. Since no constraint is enforced during the index creation phase, IMine provides a complete representation of the original database. To reduce the I/O cost, data accessed together during the same extraction phase are clustered on the same disk block. The IMine index structure can be efficiently exploited by different item set extraction algorithms. In particular, IMine data access methods currently support the FP-growth and LCM v.2 algorithms, but they can straightforwardly support the enforcement of various constraint categories. The IMine index has been integrated into the PostgreSQL DBMS and exploits its physical level access methods. Experiments, run for both sparse and dense data distributions, show the efficiency of the proposed index and its linear scalability also for large data sets. Item set mining supported by the IMine index shows performance always comparable with, and often (especially for low supports) better than, state-of-the-art algorithms accessing data on flat file. Index Terms--Data mining, item set extraction, indexing.

Published
2009

40. A lazy approach to associative classification

Author

Baralis, Elena, Chiusano, Silvia, and Garza, Paolo

Subjects
Automatic classification -- Evaluation, Data mining -- Analysis, Data warehousing/data mining, Business, Computers, Electronics, Electronics and electrical industries
Abstract

Associative classification is a promising technique to build accurate classifiers. However, in large or correlated data sets, association rule mining may yield huge rule sets. Hence, several pruning techniques have been proposed to select a small subset of high-quality rules. Since the availability of a 'rich' rule set may improve the accuracy of the classifier, we argue that rule pruning should be reduced to a minimum. The [L.sup.3] associative classifier is built by means of a lazy pruning technique that discards exclusively rules that only misclassify training data. The classification of unlabeled data is performed in two steps. A small subset of high-quality rules is first considered. When this set is not able to classify the data, a larger rule set is exploited. This second set includes rules usually discarded by previous approaches. To cope with the need of mining large rule sets and to efficiently use them for classification, a compact form is proposed to represent a complete rule set in a space-efficient way and without information loss. An extensive experimental evaluation on real and synthetic data sets shows that [L.sup.3] improves the classification accuracy with respect to previous approaches. Index Terms--Data mining, associative classification, association rules, condensed representations.

Published
2008

46. Essential classification rule sets

Author

Baralis, Elena and Chiusano, Silvia

Subjects
CD-ROM catalog, CD-ROM database, Database, Data warehousing/data mining, Databases -- Research, Data mining -- Research
Abstract

Given a class model built from a dataset including labeled data, classification assigns a new data object to the appropriate class. In associative classification the class model (i.e., the classifier) is a set of association rules. Associative classification is a promising technique for the generation of highly accurate classifiers. In this article, we present a compact form which encodes without information loss the classification knowledge available in a classification rule set. This form includes the rules that are essential for classification purposes, and thus it can replace the complete rule set. The proposed form is particularly effective in dense datasets, where traditional extraction techniques may generate huge rule sets. The reduction in size of the rule set allows decreasing the complexity of both the rule generation step and the rule pruning step. Hence, classification rule extraction can be performed also with low support, in order to extract more, possibly useful, rules. Categories and Subject Descriptors: H.2.8 [Database Management]: Database Applications--Data mining General Terms: Algorithms, Experimentation, Theory Additional Key Words and Phrases: Association rules, associative classification, concise representations

Published
2004

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