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101 results on '"Peralta, Veronika"'

2. A Conceptual Model for Data Storytelling Highlights in Business Intelligence Environments

Author

Vassiliadis, Panos, Marcel, Patrick, Outa, Faten El, Peralta, Veronika, and Gkitsakis, Dimos

Subjects
Computer Science - Databases, H.2
Abstract

We introduce a conceptual model for highlights to support data analysis and storytelling in the domain of Business Intelligence, via the automated extraction, representation, and exploitation of highlights revealing key facts that are hidden in the data with which a data analyst works. The model builds on the concepts of Holistic and Elementary Highlights, along with their context, constituents and interrelationships, whose synergy can identify internal properties, patterns and key facts in a dataset being analyzed., Comment: 16 pages, 4 figures

Published
2024

3. A declarative approach to data narration

Author

Marcel, Patrick, Peralta, Veronika, Outa, Faten El, and Vassiliadis, Panos

Subjects
Computer Science - Databases
Abstract

This vision paper lays the preliminary foundations for Data Narrative Management Systems (DNMS), systems that enable the storage, sharing, and manipulation of data narratives. We motivate the need for such formal foundations and introduce a simple logical framework inspired by the relational model. The core of this framework is a Data Narrative Manipulation Language inspired by the extended relational algebra. We illustrate its use via examples and discuss the main challenges for the implementation of this vision.

Published
2023

4. Cube Interestingness: Novelty, Relevance, Peculiarity and Surprise

Author

Gkitsakis, Dimos, Kaloudis, Spyridon, Mouselli, Eirini, Peralta, Veronika, Marcel, Patrick, and Vassiliadis, Panos

Subjects
Computer Science - Databases
Abstract

In this paper, we discuss methods to assess the interestingness of a query in an environment of data cubes. We assume a hierarchical multidimensional database, storing data cubes and level hierarchies. We start with a comprehensive review of related work in the fields of studies of human behavior and computer science. We define the interestingness of a query as a vector of scores along difference dimensions, like novelty, relevance, surprise and peculiarity and complement this definition with a taxonomy of the information that can be used to assess each of these dimensions of interestingness. We provide both syntactic (result-independent) checks and extensional (result-dependent) measures and algorithms for assessing the different dimensions of interestingness in a quantitative fashion. We also report our findings on a user study that we conducted, analyzing the significance of each dimension, its evolution over time and the behavior of the study's participants., Comment: 86 pages, 21 figures

Published
2022

5. Use of Context in Data Quality Management: a Systematic Literature Review

Author

Serra, Flavia, Peralta, Veronika, Marotta, Adriana, and Marcel, Patrick

Subjects
Computer Science - Databases
Abstract

The importance of context in data quality (DQ) was shown many years ago and nowadays is widely accepted. Early approaches and surveys defined DQ as \textit{fitness for use} and showed the influence of context on DQ. This paper presents a Systematic Literature Review (SLR) for investigating how context is taken into account in recent proposals for DQ management. We specifically present the planning and execution of the SLR, the analysis criteria and our results reflecting the relationship between context and DQ in the state of the art and, particularly, how that context is defined and used for DQ management.

Published
2022

7. Methodology for Mining, Discovering and Analyzing Semantic Human Mobility Behaviors

Author

Moreau, Clement, Devogele, Thomas, Etienne, Laurent, Peralta, Veronika, and de Runz, Cyril

Subjects
Computer Science - Machine Learning
Abstract

Various institutes produce large semantic datasets containing information regarding daily activities and human mobility. The analysis and understanding of such data are crucial for urban planning, socio-psychology, political sciences, and epidemiology. However, none of the typical data mining processes have been customized for the thorough analysis of semantic mobility sequences to translate data into understandable behaviors. Based on an extended literature review, we propose a novel methodological pipeline called simba (Semantic Indicators for Mobility and Behavior Analysis), for mining and analyzing semantic mobility sequences to identify coherent information and human behaviors. A framework for semantic sequence mobility analysis and clustering explicability based on integrating different complementary statistical indicators and visual tools is implemented. To validate this methodology, we used a large set of real daily mobility sequences obtained from a household travel survey. Complementary knowledge is automatically discovered in the proposed method.

Published
2020

8. Context-Aware Data Quality Management Methodology

Author

Serra, Flavia, Peralta, Veronika, Marotta, Adriana, Marcel, Patrick, 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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9. Detecting coherent explorations in SQL workloads

Author

Peralta, Veronika, Marcel, Patrick, Verdeaux, Willeme, and Diakhaby, Aboubakar Sidikhy

Subjects
Computer Science - Databases
Abstract

This paper presents a proposal aiming at better understanding a workload of SQL queries and detecting coherent explorations hidden within the workload. In particular, our work investigates SQLShare [11], a database-as-a-service platform targeting scientists and data scientists with minimal database experience, whose workload was made available to the research community. According to the authors of [11], this workload is the only one containing primarily ad-hoc hand-written queries over user-uploaded datasets. We analyzed this workload by extracting features that characterize SQL queries and we show how to use these features to separate sequences of SQL queries into meaningful explorations. We ran several tests over various query workloads to validate empirically our approach.

Published
2019

10. Modeling Context for Data Quality Management

Author

Serra, Flavia, Peralta, Verónika, Marotta, Adriana, Marcel, Patrick, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Ralyté, Jolita, editor, Chakravarthy, Sharma, editor, Mohania, Mukesh, editor, Jeusfeld, Manfred A., editor, and Karlapalem, Kamalakar, editor

Published
2022
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11. Data Narrative Crafting via a Comprehensive and Well-Founded Process

Author

El Outa, Faten, Marcel, Patrick, Peralta, Veronika, da Silva, Raphaël, Chagnoux, Marie, Vassiliadis, Panos, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Chiusano, Silvia, editor, Cerquitelli, Tania, editor, and Wrembel, Robert, editor

Published
2022
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15. Towards a Conceptual Model for Data Narratives

Author

El Outa, Faten, Francia, Matteo, Marcel, Patrick, Peralta, Veronika, Vassiliadis, Panos, 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, Dobbie, Gillian, editor, Frank, Ulrich, editor, Kappel, Gerti, editor, Liddle, Stephen W., editor, and Mayr, Heinrich C., editor

Published
2020
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16. The Tell-Tale Cube

Author

Chédin, Antoine, Francia, Matteo, Marcel, Patrick, Peralta, Verónika, Rizzi, Stefano, 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, Darmont, Jérôme, editor, Novikov, Boris, editor, and Wrembel, Robert, editor

Published
2020
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18. A Framework for Learning Cell Interestingness from Cube Explorations

Author

Marcel, Patrick, Peralta, Veronika, Vassiliadis, Panos, 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, Welzer, Tatjana, editor, Eder, Johann, editor, Podgorelec, Vili, editor, and Kamišalić Latifić, Aida, editor

Published
2019
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21. Detecting User Focus in OLAP Analyses

Author

Djedaini, Mahfoud, Labroche, Nicolas, Marcel, Patrick, Peralta, Verónika, 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, Kirikova, Mārīte, editor, Nørvåg, Kjetil, editor, and Papadopoulos, George A., editor

Published
2017
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22. User Interests Clustering in Business Intelligence Interactions

Author

Drushku, Krista, Aligon, Julien, Labroche, Nicolas, Marcel, Patrick, Peralta, Veronika, Dumant, Bruno, 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, Dubois, Eric, editor, and Pohl, Klaus, editor

Published
2017
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23. Benchmarking Exploratory OLAP

Author

Djedaini, Mahfoud, Furtado, Pedro, Labroche, Nicolas, Marcel, Patrick, Peralta, Verónika, 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, Nambiar, Raghunath, editor, and Poess, Meikel, editor

Published
2017
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26. Materializing Baseline Views for Deviation Detection Exploratory OLAP

Author

Furtado, Pedro, Nadal, Sergi, Peralta, Veronika, Djedaini, Mahfoud, Labroche, Nicolas, Marcel, Patrick, 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, Madria, Sanjay, editor, and Hara, Takahiro, editor

Published
2015
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29. Describing Analytical Sessions Using a Multidimensional Algebra

Author

Romero, Oscar, Marcel, Patrick, Abelló, Alberto, Peralta, Verónika, Bellatreche, Ladjel, 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 Dayal, Umeshwar, editor

Published
2011
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31. Qbox-Services: Towards a Service-Oriented Quality Platform

Author

González, Laura, Peralta, Verónika, Bouzeghoub, Mokrane, Ruggia, Raúl, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Heuser, Carlos Alberto, editor, and Pernul, Günther, editor

Published
2009
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33. Describing Multidimensional Data Through Highlights

Author

Francia, Matteo, Gallinucci, Enrico, Golfarelli, Matteo, Marcel, Patrick, Peralta, Veronika, Rizzi, Stefano, Matteo Francia, Enrico Gallinucci, Matteo Golfarelli, Patrick Marcel, Veronika Peralta, Stefano Rizzi, and Peralta, Veronika

Subjects
[INFO] Computer Science [cs], OLAP, OLAM, Analytics, Multidimensional data, Data exploration
Abstract

The Intentional Analytics Model (IAM) is a new paradigm to couple OLAP and analytics. It relies on two ideas: (i) letting the user explore data by expressing his/her analysis intentions rather than the data (s)he needs, and (ii) returning enhanced cubes, i.e., multidimensional data annotated with knowledge insights in the form of model components (e.g., clusters). In this paper we propose a proof-of-concept for the IAM vision by delivering an end-to-end implementation of describe, one of the five intention operators introduced by IAM.

Published
2022

34. A data narrative about tuberculosis pandemic in Gabon

Author

Peralta, Veronika, Mbenga, Raymond Ondzigue, Devogele, Thomas, El Outa, Faten, Maghendji Nzondo, Sydney, Ngoungou, Edgard Brice, and Peralta, Veronika

Subjects
[INFO] Computer Science [cs]
Published
2022

36. Service Retrieval Based on Behavioral Specifications and Quality Requirements

Author

Grigori, Daniela, Peralta, Verónika, Bouzeghoub, Mokrane, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, van der Aalst, Wil M. P., editor, Benatallah, Boualem, editor, Casati, Fabio, editor, and Curbera, Francisco, editor

Published
2005
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38. Un modèle conceptual de narration de données

Author

El Outa, Faten, Marcel, Patrick, Peralta, Veronika, Bases de données et traitement des langues naturelles (BDTLN), Laboratoire d'Informatique Fondamentale et Appliquée de Tours (LIFAT), Université de Tours (UT)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université de Tours (UT)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Université de Tours-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université de Tours-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), and Peralta, Veronika

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

International audience

Published
2021

40. Learning user interests for recommendations in business intelligence interactions

Author

Drushku, Krista, Labroche, Nicolas, Marcel, Patrick, Peralta, Veronika, Bases de données et traitement des langues naturelles (BDTLN), Laboratoire d'Informatique Fondamentale et Appliquée de Tours (LIFAT), Université de Tours-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université de Tours-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Université de Tours (UT)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université de Tours (UT)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Peralta, Veronika, and Labroche, Nicolas

Subjects
[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], [INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB], [INFO]Computer Science [cs], [INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR], [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], [INFO] Computer Science [cs], ComputingMilieux_MISCELLANEOUS, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
Abstract

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for improving recommendation to users in data intelligence systems. In one aspect, a method includes the actions of receiving a current observation describing an interaction of a user with a data intelligence system; identifying a current user interest based on the current observation, wherein past observations of the user with the data intelligence system are clustered to form user interests in a Markov model; using the Markov model and based on the current user interest, determining a next user interest from the user interests; extracting a one past observation from the determined next user interest based on a selection criterion and a threshold, wherein the selection criterion is based on how closely the at least one past observation matches the current observation; and sending a recommendation to the user based on the past observation.

Published
2021

42. Supporting the Generation of Data Narratives

Author

El outa, Faten, Francia, Matteo, Marcel, Patrick, Peralta, Veronika, Vassiliadis, Panos, Bases de données et traitement des langues naturelles (BDTLN), Laboratoire d'Informatique Fondamentale et Appliquée de Tours (LIFAT), Université de Tours (UT)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université de Tours (UT)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Peralta, Veronika, Université de Tours-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), and Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université de Tours-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL)

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

International audience

Published
2020

43. From source data to data narratives: accompanying users in the way to interactive data analysis

Author

Peralta, Veronika, Bases de données et traitement des langues naturelles (BDTLN), Laboratoire d'Informatique Fondamentale et Appliquée de Tours (LIFAT), Université de Tours (UT)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université de Tours (UT)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université de Tours-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université de Tours-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA), and Peralta, Veronika

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

International audience

Published
2020

44. Recommandations basées sur les centres d'intérêts utilisateurs en Business Intelligence

Author

Drushku, Krista, Aligon, Julien, Labroche, Nicolas, Marcel, Patrick, Peralta, Veronika, Bases de données et traitement des langues naturelles (BDTLN), Laboratoire d'Informatique Fondamentale et Appliquée de Tours (LIFAT), Université de Tours (UT)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université de Tours (UT)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Peralta, Veronika, Université de Tours-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), and Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université de Tours-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL)

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

International audience

Published
2020

45. Modéliser la démarche du data journaliste

Author

Chagnoux, Marie, Da Silva, Raphael, El outa, Faten, Labroche, Nicolas, Marcel, Patrick, Peralta, Veronika, Centre d'études sur les médias, les technologies et l'internationalisation (CEMTI), Université Paris 8 Vincennes-Saint-Denis (UP8), Laboratoire d'Informatique Fondamentale et Appliquée de Tours (LIFAT), Université de Tours (UT)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Bases de données et traitement des langues naturelles (BDTLN), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université de Tours (UT)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Madics, and MADONA

Subjects
[INFO.INFO-CY]Computer Science [cs]/Computers and Society [cs.CY], transdisciplinarity, transdisciplinarité, conceptual modeling, data journalisme, modèle conceptuel, data journalism
Abstract

International audience; Transdisciplinarity implementation remains a challenge in projects that bring together disciplinary actors while it is essential for modeling complex problems, such as data analysis to produce narratives. In this article, we explain how this approach, applied to the case of data journalism, allowed us upstream to identify a research problem and downstream to build draw a methodology and a common language, in particular through the use of conceptual models. Thanks to its graphic formalizations, this tool, initially thought of as a step for software design, allowed all the actors of the project to build and validate the mode at each stage; La mise en œuvre effective de la transdisciplinarité reste une gageure dans les projets qui rassemblent des acteurs disciplinaires alors qu’elle est indispensable pour modéliser des problèmes complexes, comme la recherche et le traitement de l’information pour produire des narrations à partir de données. Dans cet article, nous expliquons en quoi cette approche, appliquée au cas du data journalisme, a fait émerger en amont une problématique de recherche et a ébauché en aval une méthodologie et un langage communs, notamment par le recours à des modèles conceptuels. De par ses formalisations graphiques, cet outil, initialement pensé comme une étape pour la conception logicielle, a permis à tous les acteurs du projet de construire et valider le modèle au fur et à mesure.

Published
2021

46. H2PTM

Author

Marcel, Patrick, Chagnoux, Marie, El outa, Faten, Labroche, Nicolas, Peralta, Veronika, Da Silva, Raphael, Laboratoire d'Informatique Fondamentale et Appliquée de Tours (LIFAT), Centre National de la Recherche Scientifique (CNRS)-Université de Tours-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA), Bases de données et traitement des langues naturelles (BDTLN), and Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université de Tours-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL)

Subjects
[INFO.INFO-CY]Computer Science [cs]/Computers and Society [cs.CY], ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2021

48. Learning Analysis Behavior in SQL Workloads

Author

Moreau, Clément, Peralta, Veronika, Bases de données et traitement des langues naturelles (BDTLN), Laboratoire d'Informatique Fondamentale et Appliquée de Tours (LIFAT), Université de Tours-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université de Tours-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Université de Tours (UT)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), and Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université de Tours (UT)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL)

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

International audience

Published
2021

49. Methodology for Mining, Discovering and Analyzing Semantic Human Mobility Behaviors

Author

Moreau, Clement, Devogele, Thomas, Etienne, Laurent, Peralta, Veronika, de Runz, Cyril, Etienne, Laurent, Bases de données et traitement des langues naturelles (BDTLN), Laboratoire d'Informatique Fondamentale et Appliquée de Tours (LIFAT), Université de Tours-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université de Tours-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Knowledge Learning and Information Modelling (LABISEN-KLAIM), Laboratoire ISEN (L@BISEN), Institut supérieur de l'électronique et du numérique (ISEN)-YNCREA OUEST (YO)-Institut supérieur de l'électronique et du numérique (ISEN)-YNCREA OUEST (YO), Université de Tours (UT)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), and Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université de Tours (UT)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL)

Subjects
FOS: Computer and information sciences, Computer Science - Machine Learning, [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, Machine Learning (cs.LG)
Abstract

Various institutes produce large semantic datasets containing information regarding daily activities and human mobility. The analysis and understanding of such data are crucial for urban planning, socio-psychology, political sciences, and epidemiology. However, none of the typical data mining processes have been customized for the thorough analysis of semantic mobility sequences to translate data into understandable behaviors. Based on an extended literature review, we propose a novel methodological pipeline called simba (Semantic Indicators for Mobility and Behavior Analysis), for mining and analyzing semantic mobility sequences to identify coherent information and human behaviors. A framework for semantic sequence mobility analysis and clustering explicability based on integrating different complementary statistical indicators and visual tools is implemented. To validate this methodology, we used a large set of real daily mobility sequences obtained from a household travel survey. Complementary knowledge is automatically discovered in the proposed method.

Published
2021

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