Team AxIS
Members
Overall Objectives
Application Domains
Software
New Results
Contracts and Grants with Industry
Other Grants and Activities
Bibliography
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Bibliography

Major publications by the team in recent years

[1]
E. Guichard (editor)
Mesures de l'internet, Les Canadiens en Europe, 2004, ouvrage collectif suite au Colloque Mesures de l'internet, Nice, France, 12-14 Mai, 2003.
[2]
R. Boulet, B. Jouve, F. Rossi, N. Villa.
Batch kernel SOM and related Laplacian methods for social network analysis, in: Neurocomputing, March 2008, vol. 71, no 7–9, p. 1257–1273.
[3]
M. Chavent, F. de Carvalho, Y. Lechevallier, R. Verde.
New clustering methods for interval data, in: Computational Statistics, 2006, vol. 21, no 23, p. 211-230.
[4]
S. Chelcea, P. Bertrand, B. Trousse.
Un Nouvel Algorithme de Classification Ascendante 2-3 Hiérarchique, in: Actes de 14ème Congrès Francophone AFRIF-AFIA de Reconnaissance des Formes et Intelligence Artificielle (RFIA 2004), Centre de Congrès Pierre BAUDIS, Toulouse, France, 28-30 Janvier 2004, vol. 3, p. 1471-1480.
http://www.laas.fr/rfia2004/actes/ARTICLES/388.pdf
[5]
B. Conan-Guez, F. Rossi, A. El Golli.
Fast Algorithm and Implementation of Dissimilarity Self-Organizing Maps, in: Neural Networks, August 2006, vol. 19, no 6-7, p. 855–863.
http://dx.doi.org/10.1016/j.neunet.2006.05.002
[6]
A. Da Silva, Y. Lechevallier, F. de Carvalho, B. Trousse.
Mining Web Usage Data for Discovering Navigation Clusters, in: 11th IEEE Symposium on Computers and Communications (ISCC'06), Pula-Cagliari, Italy, IEEE Computer Society, 26-29 June 2006, p. 910-915.
http://doi.ieeecomputersociety.org/10.1109/ISCC.2006.102
[7]
T. Despeyroux.
Practical Semantic Analysis of Web Sites and Documents, in: The 13th World Wide Web Conference, WWW2004, New York City, USA, 17-22 May 2004.
http://www-sop.inria.fr/axis/papers/04www/despeyroux-www2004.pdf
[8]
T. Despeyroux.
Evolution of Ontologies and Types, in: WWW/Internet 2008 Conference, Freiburg, Germany, October 2008.
[9]
G. Hébrail, Y. Lechevallier.
Data mining et analyse des données, in: Analyse des données, Hermes, June 2003, p. 340-360.
[10]
A. Marascu, F. Masseglia.
Mining Sequential Patterns from Data Streams: a Centroid Approach, in: Journal of Intelligent Information Systems (JIIS)., November 2006, vol. 27, no 3, p. 291-307.
[11]
A. Marascu, F. Masseglia.
Parameterless outlier detection in data streams, in: ACM Symposium on Applied Computing (SAC), Honolulu, Hawaii, USA, March 9-12, 2009, p. 1491-1495.
[12]
F. Masseglia, P. Poncelet, M. Teisseire, A. Marascu.
Web Usage Mining: Extracting Unexpected Periods from Web Logs, in: Data Mining and Knowledge Discovery (DMKD) Journal., 2007, DOI 10.1007/s10618-007-0080-z.
[13]
F. Masseglia, D. Tanasa, B. Trousse.
Web Usage Mining: Sequential Pattern Extraction with a Very Low Support, in: Advanced Web Technologies and Applications: 6th Asia-Pacific Web Conference, APWeb 2004, Hangzhou, China. Proceedings, LNCS, Springer-Verlag, 14-17 April 2004, vol. 3007, p. 513–522.
[14]
F. Rossi, B. Conan-Guez.
Functional Multi-Layer Perceptron: a Nonlinear Tool for Functional Data Analysis, in: Neural Networks, January 2005, vol. 18, no 1, p. 45-60.
http://hal.inria.fr/inria-00000599
[15]
D. Tanasa, B. Trousse.
Advanced Data Preprocessing for Intersites Web Usage Mining, in: IEEE Intelligent Systems, March-April 2004, vol. 19, no 2, p. 59–65.
[16]
F. de Carvalho, Y. Lechevallier.
Partitional clustering algorithms for symbolic interval data based on single adaptive distances, in: Pattern Recognition, 2009, vol. 42, no 7, p. 1223-1236.

Publications of the year

Doctoral Dissertations and Habilitation Theses

[17]
M. Charrad.
Une approche générique pour l'analyse croisant contenu et usages des sites Web par des méthodes de bipartitionnement, CNAM, 2010.

Articles in International Peer-Reviewed Journal

[18]
C. Bach, D. Scapin.
Comparing Inspections and User Testing for the Evaluation of Virtual Environments, in: International Journal of Human-Computer Interaction, 2010, vol. 26, no 8, p. 786-824.
http://dx.doi.org/10.1080/10447318.2010.487195
[19]
S. Bashar, F. Masseglia.
Discovering Frequent Behaviors: Time is an Essential Element of the Context, in: Knowledge and Information Systems (KAIS), 2010, DOI 10.1007/s10115-010-0361-5.
[20]
S. Caffiau, D. Scapin, P. Girard, M. Baron, F. Jambon.
Increasing the expressive power of task analysis: systematic comparison and empirical assessment of tool-supported task models, in: Interact. Comput., 2010, 10.1016/j.intcom.2010.06.003.
[21]
G. Hébrail, B. Hugueney, Y. Lechevallier, F. Rossi.
Exploratory Analysis of Functional Data via Clustering and Optimal Segmentation, in: Neurocomputing / EEG Neurocomputing, Mar 2010, vol. 73, no 7-9, p. 1125-1141, 10.1016/j.neucom.2009.11.022.
http://hal.inria.fr/hal-00515908/en
[22]
A.-M. Marascu, F. Masseglia.
Atypicity Detection in Data Streams: a Self-adjusting Approach, in: Intelligent Data Analysis Journal, 2010.
http://hal.inria.fr/inria-00461263/en

Articles in National Peer-Reviewed Journal

[23]
S. Caffiau, D. Scapin, L. Sanou.
Using K-MADe for Learning Task Modeling: Interests and Difficulties, in: JIPS (Journal d'Interaction Personne-Système), 2010, vol. 1, no 1.

Invited Conferences

[24]
Y. Lechevallier, A. Da Silva, F. Rossi, F. de Carvalho, R. Verde, A. Balzanella.
La fouille des flux d'informations, in: AAFD, 4 èmes journées thématiques Apprentissage Artificiel et Fouille de Données, Villetaneuse, Paris, june 29-30 2010.

International Peer-Reviewed Conference/Proceedings

[25]
S. Caffiau, P. Girard, D. Scapin.
Task modelling techniques and their assessment, in: W3C Workshop on Future Standards for Model-Based User Interfaces, May 2010, Rome, Italy.
[26]
S. Caffiau, P. Girard, D. Scapin, L. Guittet.
Prise en compte de l'utilisateur dans le processus de conception d'une application d'édition de modèles de tâches, in: ERGO'IA, October 2010, Biarritz.
[27]
M. Charrad, Y. Lechevallier, M. Ben Ahmed, G. Saporta.
On the Number of Clusters in Block Clustering Algorithms, in: FLAIRS Conference, 2010.
[28]
M. Charrad, Y. Lechevallier, M. Ben Ahmed, G. Saporta.
WCUM pour l'analyse d'un site web, in: Extraction et gestion des connaissances (EGC'2010), Actes, 26 au 29 janvier 2010, Hammamet, Tunisie, 2010, p. 669-672.
[29]
A. Ciampi, A. Dyachenko, Y. Lechevallier.
Two-way Classification of a Table with non-negative entries: Validation of an Approach based on Correspondence Analysis and Information Criteria, in: Proceedings of the COMPSTAT 2010 conference, Physica-Verlag, August 2010.
[30]
M. Csernel, T. Cazenave.
Comparing Sanskrit Texts for Critical Editions, in: Coling 2010, Beijing, China, Coling 2010 Organizing Committee, August 2010, p. 206–213.
[31]
G. Hébrail, B. Hugueney, Y. Lechevallier, F. Rossi.
Exploratory Analysis of Functional Data via Clustering and Optimal Segmentation, in: ESANN 2010, 2010, vol. abs/1004.0456.
[32]
Y. Lechevallier, F. de Carvalho, T. Despeyroux, F. de Melo.
Clustering of Multiple Dissimilarity Data Tables for Documents Categorization, in: Proceedings of the COMPSTAT 2010 conference, Physica-Verlag, August 2010, Paris.
[33]
A.-M. Marascu, F. Masseglia, Y. Lechevallier.
A fast approximation strategy for summarizing a set of streaming time series, in: Proceedings of the 2010 ACM Symposium on Applied Computing, SAC'2010, Sierre, Switzerland, March 22-26 2010, p. 1617-1621.
[34]
M. Pallot, B. Trousse, B. Senach, D. Scapin.
Living Lab Research Landscape: From User Centred Design and User Experience towards User Co-creation, in: 1st. European Living Labs Summer School, Collaborative Innovation through Living Labs, August 2010, Cité des Sciences, Paris, France.
[35]
F. Petitjean, P. Gançarski, F. Masseglia, G. Forestier.
Analysing Satellite Image Time Series by Means of Pattern Mining, in: Intelligent Data Engineering and Automated Learning, 11th International Conference (IDEAL'2010), Paisley, UK, September 1-3 2010, p. 45-52.
[36]
M. Schmettow, D. Bach.
Effizientere Usability Evaluationen mit gemischten Prozessen, in: Mensch & Computer Konferenz, Duisburg, Germany, Usability Professionals Association, September 12-15 2010.
[37]
A. Serna, G. Calvary, D. L. Scapin.
How assessing plasticity design choices can improve UI quality: a case study, in: the 2nd ACM SIGCHI Symposium on Engineering Interactive Computing System , EICS 2010, Berlin, Germany, N. Sukaviriya, J. Vanderdonckt, M. Harrison (editors), June 19-23 2010, p. 29-34.
[38]
E. Smirnova, K. Avrachenkov, B. Trousse.
Using Web Graph Structure for Person Name Disambiguation, in: WEPS campaign: Searching Information about Entities in the Web, 2010.
[39]
C. Zhang, F. Masseglia, Y. Lechevallier.
ABS: the Anti-Bouncing Model for Usage Data Streams, in: the IEEE International Conference on Data Mining (ICDM), Sydney, Australia, December 14-17 2010.
[40]
F. de Carvalho, T. Despeyroux, F. de Melo, Y. Lechevallier.
Utilisation de matrices de dissimilarité multiples pour la classification de documents, in: Proceedings of Première Conférence Maghrébine sur l'Extraction et la Gestion des Connaissances, December 2010, Alger.
[41]
F. de Carvalho, Y. Lechevallier, F. M. de Melo.
A Relational Fuzzy C-Means Clustering Algorithm Based on Multiple Dissimilarity Matrices, in: Tenth International Conference on Intelligent System Design and Applications, ISDA 2010, Cairo, Egypt, December 2010.

National Peer-Reviewed Conference/Proceedings

[42]
A. Balzanella, R. Verde, Y. Lechevallier.
Clustering highly evolving multiple data streams, in: SFC, Saint-Denis, 2010.
[43]
Collectif Midas.
Résumé généraliste de flux de données, in: EGC, Jan 2010, p. 255-260, Tunisie.
http://hal.inria.fr/hal-00502017/en
[44]
M. Csernel, M. Le Pouliquen.
Comparer les textes Sankrits à des fins d'édition critiques, in: SFC 2010, St Denis, La Rèunion France, SFC 2010, June 2010, 91 p.
[45]
M. Csernel, M. Le Pouliquen.
Stemma codicum and relation d'intermédiarité, utilisation de la méthode de Don Quentin, in: JADT 2010, Rome, Italy, JADT 2010, June 2010, p. 309-320.
http://www.cavi.univ-paris3.fr/lexicometrica/jadt/jadt2010/allegati/JADT-2010-0309-0320_015-LePoulequin.pdf
[46]
A.-M. Marascu, F. Masseglia, Y. Lechevallier.
REGLO: une nouvelle stratégie pour résumer un flux de séries temporelles, in: Extraction et Gestion des Connaissances, Jan 2010, p. 218-228, Tunisie Hammamet.
http://hal.inria.fr/inria-00461834/en
[47]
F. Petitjean, P. Gançarski, F. Masseglia.
Extraction de motifs d'évolution dans les Séries Temporelles d'Images Satellites, in: Spatial Analysis and GEOmatics (SAGEO 2010), Toulouse, 17-19 novembre 2010.
[48]
A. Serna, G. Calvary, D. L. Scapin.
Penser  Plasticité  peut améliorer la Qualité des Interfaces Homme-Machine : une étude de cas, in: ErgoIA, October 2010, Biarritz.
[49]
C. Zhang, F. Masseglia, Y. Lechevallier.
MUAR : un modèle anti-rebond pour les flux de données d'usage, in: Bases de Données Avancées, BDA 2010, Toulouse, France, 19 - 22 octobre 2010, p. 79-99.
[50]
C. Zhang, F. Masseglia.
Discovering Highly Informative Feature Sets from Data Streams, in: Database and Expert Systems Applications, 21st International Conference (DEXA'2010), Bilbao, Spain, August 30 - September 3 2010, p. 91-104.
[51]
C. Zhang, F. Masseglia.
Extraction d'itemsets distinctifs dans les flux de données, in: Extraction et gestion des connaissances (EGC'2010), Actes des 10èmes journées Extraction et Gestion des Connaissances, Hammamet, 26 au 29 janvier 2010, p. 187-198, France.
http://hal.inria.fr/hal-00504877/en

Scientific Books (or Scientific Book chapters)

[52]
G. Calvary, A. Serna, J. Coutaz, D. Scapin, F. Pontico, M. Winckler.
12, in: Envisioning Advanced User Interfaces for e-Government Applications: a Case Study, Springer, 2010.

Books or Proceedings Editing

[53]
Y. Lechevallier, G. Saporta (editors)
COMPSTAT 2010—Proceedings in Computational Statistics, Physica-Verlag, Heidelberg, Germany, 2010, 619 pages. [ DOI : 10.1007/978-3-7908-2604-3 ]
http://extras.springer.com/2010/978-3-7908-2603-6/ESM_COMPSTAT_ebook.pdf

Internal Reports

[54]
K. Avrachenkov, N. Litvak, D. Nemirovsky, E. Smirnova, M. Sokol.
Monte Carlo Methods for Top-k Personalized PageRank Lists and Name Disambiguation, INRIA, 09 2010, no RR-7367.
http://hal.inria.fr/inria-00510991/en/

Other Publications

[55]
J. Eschenbächer, A. Hesmer, M. Leitzelman, B. Trousse, et al..
State-of-the-art report for IOT oriented user co-creation, november 2010, no D3.1, FP7 STREP Elliot Délivrable D3.1.
[56]
M. Haddad, H. Baazaoui, M.-A. Aufaure, C. Claramunt, Y. Lechevallier, H. Ben Ghezela.
Proposition d'une architecture pour la personnalisation de l'information spatiale sur le web, in: Atelier EGC, Jan 2010, Tunisie.
[57]
A. Louati.
Analyse des réseaux sociaux: développement d'un outil basé sur l'agrégation des graphes, 2010.
[58]
P. Marie-Dessoude, D. L. Scapin.
Etat de l'art « Atelier Fonctionnel Collaboratif », november 2010, ANR Process 2.0 Délivrable D1.5.
[59]
P. Marie-Dessoude, D. L. Scapin.
Expression des besoins ergonomiques, august 2010, no D1.2, ANR Process 2.0 Délivrable.
[60]
P. Marie-Dessoude, D. L. Scapin, M. Winckler.
Espace Individuel d'Informations « dites personnelles » Enquête pilote par questionnaire, march 2010, ANR MyCitizSpace Délivrable.
[61]
F. Masseglia.
Rapport final sur le démonstrateur permettant de résumer les navigations sur le portail mobile, 2010, CRE Orange labs Contract deliverable T1.3, 104 paaes.
[62]
M. Pallot, A.-L. Negri, B. Trousse, et al..
D1.1 KSB Experience Model Overall Framework, december 2010, no D1.1, FP7 STREP Elliot Délivrable D1.1.
[63]
M. Pallot, B. Trousse, B. Senach.
Future Internet Research Landscape: From User Centred Design and User Experience towards User Cocreation, september 2010, internal AxIS document.
[64]
H. Schaffer, Sällström, N. Komninos, P. Tsarchopoulos, B. Senach, B. Trousse, M. Pallot, H. Hielkema.
Landscape and Roadmap of Future Internet and Smart Cities, september 2010, no D2.1, FP7 CSA Fireball Délivrable D2.1.
[65]
B. Senach, C. Goffart, B. Trousse.
Protocole d'expérimentation, November 2010, no D1.3, Pacalabs Ecoffices Déliverable 1.3.
[66]
B. Senach, C. Goffrad, B. Trousse.
Ecoffices: protocole d'expérimentation, 2010, no Lot 1.3, Pacalabs Ecoffices Déliverable 1.3.
[67]
B. Senach.
Exigences à satisfaire pour une conception centrée utilisateur, juin 2010, no SP0.1, Web 2.0 Déliverable.
[68]
M. Yared.
Classification de données d'usage par flux, 2010, no Tâche 3.4, Internship report and ANR Midas T3.4 Déliverable.

References in notes

[69]
H.-H. Bock, E. Diday (editors)
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K. Balog, T. Bogers, L. Azzopardi, M. De Rijke, A. Van den Bosch.
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[71]
A. Balzanella, Y. Lechevallier, R. Verde.
A new approach for clustering multiple streams of data, in: Classification and Data Analysis 2009, S. Ingrassia, R. Rocci (editors), 2009, p. 417-420.
[72]
P. Blackburn, J. Bos, K. Striegnitz.
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M. Chavent, Y. Lechevallier, O. Briant.
DIVCLUS-T: A monothetic divisive hierarchical clustering method, in: Computational Statistics and Data Analysis, 2007, vol. 52, p. 687-701.
[75]
S. Chelcea.
Agglomerative 2-3 Hierarchical Classification: Theoretical and Applicative Study, University of Nice Sophia Antipolis, March 2007.
[76]
W. F. Clocksin, C. S. Mellish.
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[77]
B. Conan-Guez, F. Rossi.
Speeding Up the Dissimilarity Self-Organizing Maps by Branch and Bound, in: Proceedings of 9th International Work-Conference on Artificial Neural Networks (IWANN 2007), San Sebastian (Spain), F. Sandoval, A. Prieto, J. Cabestany, M. Grana (editors), Lecture Notes in Computer Science, June 2007, no 4507, p. 203–210.
[78]
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Fast Algorithm and Implementation of Dissimilarity Self-Organizing Maps, in: Neural Networks, August 2006, vol. 19, no 6–7, p. 855–863.
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R. E. Johnson, B. Foote.
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[91]
A. Marascu.
Extraction de motifs séquentiels dans les flux de données, University of Nice Sophia Antipolis, 2009.
[92]
A. Marascu, F. Masseglia.
Mining sequential patterns from data streams: a centroid approach, in: J. Intell. Inf. Syst., 2006, vol. 27, no 3, p. 291-307.
[93]
M. Noirhomme-Fraiture.
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R. A. O'Keefe.
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[95]
F. Rossi, B. Conan-Guez.
Functional Multi-Layer Perceptron: a Nonlinear Tool for Functional Data Analysis, in: Neural Networks, January 2005, vol. 18, no 1, p. 45–60.
http://hal.inria.fr/inria-00000599
[96]
F. Rossi, B. Conan-Guez.
Un modèle neuronal pour la régression et la discrimination sur données fonctionnelles, in: Revue de Statistique Appliquée, 2005, vol. LIII, no 4, p. 5–30.
http://hal.inria.fr/inria-00001190
[97]
F. Rossi, B. Conan-Guez.
Theoretical Properties of Projection Based Multilayer Perceptrons with Functional Inputs, in: Neural Processing Letters, February 2006, vol. 23, no 1, p. 55–70.
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[98]
F. Rossi, N. Delannay, B. Conan-Guez, M. Verleysen.
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[99]
F. Rossi, A. Hasenfuss, B. Hammer.
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[100]
F. Rossi.
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P. Serdyukov, D. Hiemstra.
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[102]
D. Tanasa.
Web Usage Mining: Contributions to Intersites Logs Preprocessing and Sequential Pattern Extraction with Low Support, University of Nice Sophia Antipolis, june 2005.
[103]
B. Trousse, M.-A. Aufaure, B. Le Grand, Y. Lechevallier, F. Masseglia.
Web Usage Mining for Ontology Management, in: Data Mining with Ontologies: Implementations, Findings and Frameworks., N. Hèctor Oscar, S. E. G. Gonzalez Cisaro, X. Daniel Hugo (editors), Information Science Reference, 2007, chap. 3, p. 37-64.
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N. Villa, F. Rossi.
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Clustering methods in symbolic data analysis, in: Symbolic Data Analysis and the SODAS Software, E. Diday, M. Noirhomme-Fraiture (editors), Wiley, 2008, p. 181-204.

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