Bibliographie

1

The MAIDS Project, http://maids.ncsa.uiuc.edu.

2

VLDB 2002, Proceedings of 28th International Conference on Very Large Data Bases, August 20-23, 2002, Hong Kong, China. Morgan Kaufmann, 2002.

3

Next Generation Data Mining, chapter Mining frequent patterns in data streams at multiple time granularities.
MIT Press, 2003, 2003.

4

Proceedings of the 2003 ACM CIKM International Conference on Information and Knowledge Management, New Orleans, Louisiana, USA, November 2-8, 2003. ACM, 2003.

5

P.A. Laur ans R. Nock, J.-E. Symphor, and P. Poncelet.
On the Estimation of Frequent Itemsets for Data Streams: Theory and Experiments.
In Proceedings of the 14th ACM Conference on Information and Knowledge Management (CIKM 2005), Bremen, Germany, October 2005.

6

Arvind Arasu, Brian Babcock, Shivnath Babu, Mayur Datar, Keith Ito, Rajeev Motwani, Itaru Nishizawa, Utkarsh Srivastava, Dilys Thomas, Rohit Varma, and Jennifer Widom.
Stream: The stanford stream data manager.
IEEE Data Eng. Bull., 26(1):19-26, 2003.

7

G. Carrault, M.-O. Cordier, R. Quiniou, and F. Wang.
Temporal abstraction and inductive logic programming for arrhyhtmia recognition from electrocardiograms.
Artificial Intelligence in Medicine, 28:231-263, 2003.

8

Yixin Chen, Guozhu Dong, Jiawei Han, Jian Pei, Benjamin W. Wah, and Jianyong Wang.
Online analytical processing stream data: Is it feasible?
In DMKD, 2002.

9

Marie-Odile Cordier and René Quiniou.
Apprentissage relationnel de motifs temporels.
In Atelier Extraction de motifs temporels pour la détection en ligne de situations critiques à EGC 2005, RNTI. Cépaduès, 2005.

10

Pedro Domingos and Geoff Hulten.
Catching up with the data: Research issues in mining data streams.
In DMKD, 2001.

11

A. Evsukoff, S. Gentil, and J. Montmain.
Fuzzy reasoning in co-operative supervision systems.
Control Eng. Practice, 8:389-407, 2000.

12

C. Fiot, G. Dray, A. Laurent, and M. Teisseire.
A la recherche des motifs séquentiels flous.
In Actes des Rencontres Francophones sur la Logique Floue et ses Applications (LFA 04), pages 131-138, Nantes, France, 2004.

13

Elisa Fromont, Marie-Odile Cordier, and René Quiniou.
Learning from multi source data.
In PKDD'04 (Knowledge Discovery in Databases), volume 3202 of Lecture Notes in Artificial Intelligence, Pise, Italie, 2004. Springer.

14

Elisa Fromont, René Quiniou, and Marie-Odile Cordier.
Learning rules from multisource data for cardiac monitoring.
In E. Keravnou S. Miksch, J. Hunter, editor, AIME'05 (Artificial Intelligence in Medicine), pages 484-493, Aberdeen, Scotland, 2005. Springer.

15

M. Jaczynski.
Scheme and Object-Oriented Framework for case Indexing By Behavioural Situations: Application in Assisted Web Browsing.
PhD thesis, Doctorat Thesis of the University of Sophia-Antipolis (in french), December 1998.

16

Cheqing Jin, Weining Qian, Chaofeng Sha, Jeffrey Xu Yu, and Aoying Zhou.
Dynamically maintaining frequent items over a data stream.
In CIKM [4], pages 287-294.

17

Richard M. Karp, Scott Shenker, and Christos H. Papadimitriou.
A simple algorithm for finding frequent elements in streams and bags.
ACM Trans. Database Syst., 28:51-55, 2003.

18

P.A. Laur, J.E. Symphor, R. Nock, and P. Poncelet.
Mining Sequential Patterns on Data Streams: A Near-Optimal Statistical Approach.
In Proceedings of the 2nd International Workshop on Knowledge Discovery from Data Streams (KDDS 2005) In conjunction with ECML-PKDD2005 The 16th European Conference on Machine Learning (ECML) and The 9th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), Porto, Portugal, October 2005.

19

A. Laurent, P. Poncelet, and M. Teisseire.
Fuzzy Data Mining for the Semantic Web: Building XML Mediator Schemas.
In Fuzzy Logic and the Semantic Web. Elsevier, To appear.

20

Gurmeet Singh Manku and Rajeev Motwani.
Approximate frequency counts over data streams.
In VLDB [2], pages 346-357.

21

A. Marascu and F. Masseglia.
Mining data streams for frequent sequences extraction.
In Proceedings of the first IEEE Workshop on Mining Complex Data (MCD'05). Held in conjunction with ICDM'05, Houston, USA, 2005.

22

Alice Marascu and Florent Masseglia.
Mining sequential patterns from data streams: a centroid approach.
Journal of Intelligent Information Systems (JIIS)., 27(3):291-307, November 2006.

23

F. Masseglia, F. Cathala, and P. Poncelet.
The PSP Approach for Mining Sequential Patterns.
In Proceedings of the 2nd European Symposium on Principles of Data Mining and Knowledge Discovery, Nantes, France, September 1998.

24

F. Masseglia, P. Poncelet, and M. Teisseire.
Extraction efficace de motifs séquentiels : le prétraitement des données.
In Actes des Journées Bases de Données Avancées (BDA'99), Bordeaux, France, Octobre 1999.

25

F. Masseglia, P. Poncelet, and M. Teisseire.
Incremental mining of sequential patterns in large databases.
Data an Knowledge (DKE) Journal, 46(1):97-121, July 2003.

26

F. Masseglia, D. Tanasa, and B. Trousse.
Web usage mining: Sequential pattern extraction with a very low support.
In Proceedings of the 6th Advanced Web Technologies and Applications: 6th Asia-Pacific Web Conference (APWeb 2004), pages 513-522, Hangzhou, China, 2004.

27

F. Masseglia, M. Teisseire, and P. Poncelet.
HDM: A Client/Server/Engine Architecture for Real Time Web Usage Mining.
Knowledge and Information Systems (KAIS) Journal, 5:439-465, November 2003.

28

F. Masseglia, M. Teisseire, and P. Poncelet.
Sequential Pattern Mining: A Survey on Issues and Approaches.
In Encyclopedia of Data Warehousing and Mining. Information Science Publishing, 2005.

29

J. Montmain.
Des modèles pour la supervision.
In Habilitation à Diriger des Recherches, Institut National Polytechnique de Grenoble, 2000.

30

J. Montmain and S. Gentil.
Dynamical causal model diagnostic reasoning for online technical process supervision.
Automatica, 36:1137-1152, 2000.

31

M. Plantevit, Y.W. Choong, A. Laurent, D. Laurent, and M. Teisseire.
M2SP: Mining Sequential Patterns Among Several Dimensions.
In proceedings of PKDD'05: Principles and Practice of Knowledge Discovery in Databases, pages 205-216, Porto, Portugal, October 2005.

32

Luc De Raedt.
A perspective on inductive databases.
SIGKDD Explorations, 4(2):69-77, 2002.

33

C. Raissi, P. Poncelet, and M. Teisseire.
Need for speed: Mining sequential pattens in data streams.
In Actes des 21ièmes Journées Bases de Données Avancées (BDA 2005), Saint Malo, France, 2005.

34

Alexandre Vautier, Marie-Odile Cordier, and René Quiniou.
An inductive database for mining temporal patterns in event sequences.
In Leslie Pack Kaelbling and Alessandro Saffiotti, editors, Proceedings of IJCAI-05 (International Joint Conference on Artificial Intelligence), Edinburgh, 2005.

35

Alexandre Vautier, Marie-Odile Cordier, and René Quiniou.
An inductive database for mining temporal patterns in event sequences (long version).
In PKDD (Principles and Practice of Knowledge Discovery in Databases) - Workshop mining spatio-temporal data, Porto, Portugal, 2005.