O. Balovnev, T. Bode, M. Breunig, A. B. Cremers, W. Muller et al., The Story of the GeoToolKit???An Object-Oriented Geodatabase Kernel System, GeoInformatica, vol.8, issue.1, pp.5-47, 2004.
DOI : 10.1023/B:GEIN.0000007723.77851.8f

F. Barraud and K. Zeitouni, GEOS : Towards an Open Spatial Data Model, 8th International Symposium on Spatial Data Handling, SDH 98, pp.408-417, 1998.

M. Breuning, S. Zlatanova, . Geo-dbms, and . Chapter, Large-scale 3D Data Integration: challenges and opportunities, pp.88-113, 2005.

T. Delpy and K. Zeitouni, A Graph Model to Describe Topological Relationships in a Three- Dimensional World, Proceedings of the Third International Conference on Computers in Urban Planning and Urban Management, pp.151-166, 1993.

T. Delpy, B. Brillault, and K. Zeitouni, A Topological Database to Simulate 3D Robotics Navigation, Proceedings of the Third International Conference on Automation, Robotics and Computer Vision, ICARCV'94, pp.50-55, 1994.

D. Thomas, Modélisation et Conception d'une Base de Données Environnementale pour de la simulation de navigation 3D en Environnement Complexe, 1995.

S. Donikian and G. Hégron, A Declarative Design Method for 3D Scene Sketch Modeling, Eurographics'93, 1993.
DOI : 10.1111/1467-8659.1230223

M. J. Egenhofer and J. R. Herring, A mathematical framework for the definition of topological relationships, Proceedings of the 4 th International Symposium on Spatial Data Handling, pp.803-813, 1990.

M. J. Egenhofer, Reasoning about binary topological relations, Proc. 2nd Int. Symp. on Large Spatial Databases, SSD'91, pp.143-160, 1991.
DOI : 10.1007/3-540-54414-3_36

L. De-floriani, A. Maulik, and G. Nagy, Manipulating a modular boundary model with a facebased graph structure Geometric modeling for product engineering, pp.131-143, 1990.

. R. Güting, . M. Böhlen, . M. Erwig, . C. Jensen, . N. Lorentzos et al., A foundation for representing and querying moving objects, ACM Transactions on Database Systems, vol.25, issue.1, pp.1-42, 2000.
DOI : 10.1145/352958.352963

R. Güting and M. Schneider, Moving Objects Databases, 2005.

S. Grumbach, P. Rigaux, and L. Segoufin, Spatio-temporal data handling with constraints, Proceedings of the sixth ACM international symposium on Advances in geographic information systems , GIS '98, 2001.
DOI : 10.1145/288692.288712

URL : https://hal.archives-ouvertes.fr/hal-01124457

M. Koubarakis, B. Pernici, H. J. Schek, M. Scholl, B. Theodoulidis et al., Spatio-Temporal Databases: The CHOROCHRONOS Approach, ISO 19107:2003, Geographic Information ? Spatial Schema, 2003.

P. Lienhardt, Topological models for boundary representation: a comparison with generalized maps, Computer-Aided Design, vol.23, issue.1, pp.59-82, 1991.
DOI : 10.1016/0010-4485(91)90082-8

P. A. Longley, M. F. Goodchild, D. Maguire, and D. , Geographical Information Systems, Principles and Technical Issues, 1999.

M. Meijers, S. Zlatanova, and N. Preifer, 3D geoinformation indoors: structuring for evacuation, Proceedings of Next generation 3D city models, pp.21-22, 2005.

M. Molenaar, A formal data structure for the three dimensional vector maps, Proc. of the 4th Int. Symp. on Spatial Data Handling, Switzerland, pp.830-843, 1990.

. D. Pfoser, . C. Jensen, and . Y. Theodoridis, Novel Approaches in Query Processing for Moving Object Trajectories, Proc of VLDB, pp.395-406, 2000.

D. Pfoser and C. S. Jensen, Indexing of Network-constrained MOs, 2003.

S. Pigot, A topological model for 3D spatial information system, Proceedings of the 5th Int. Symp. on Spatial Data Handling, pp.344-360, 1992.

P. Rigaux, M. Scholl, L. Segoufin, and G. S. , Building a constraint-based spatial database system: model, languages, and implementation, Information Systems, vol.28, issue.6, pp.563-595, 2003.
DOI : 10.1016/S0306-4379(02)00041-8

URL : https://hal.archives-ouvertes.fr/hal-01124721

E. Saux and R. Et-billen, Information géographique tridimensionnelle, Revue internationale de géomatique, Edition Hermès, p.1, 2006.

L. Savary and K. Zeitouni, Spatial Data Warehouse ??? A Prototype, Second Electronic Government (EGOV) Conference, Joint conference to DEXA , Prague Czech Republic, pp.335-340, 2003.
DOI : 10.1007/10929179_60

L. Speicys, C. S. Jensen, and A. Kligys, Computational Data Modeling for network-Constrained MOs, ACM-GIS, pp.118-125, 2003.

M. Schneider and B. E. Weinrich, An abstract model of three-dimensional spatial data types, Proceedings of the 12th annual ACM international workshop on Geographic information systems , GIS '04, pp.67-72, 2004.
DOI : 10.1145/1032222.1032234

Y. Tao and D. Papadias, Time-Parameterized Queries in Spatio-Temporal Databases, Proc. of ACM SIGMOD, pp.334-345, 2002.
DOI : 10.1145/564728.564730

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

. M. Vazirgiannis and . O. Wolfson, A Spatiotemporal Query Language for Moving Objects, Proc of SSTD, pp.20-35, 2001.

R. Weibel and M. Heller, Digital Terrain Modelling, Geographical Information Systems Principles, Longman Scientific & Technical, pp.269-297, 1992.

P. Wilson, Euler Formulas and Geometric Modelling, IEEE Transactions on Computer Graphics and Applications, pp.24-36, 1985.
DOI : 10.1109/mcg.1985.276212

K. Zeitouni, GéoGraph : un modèle de représentation et d'organisation physique des bases de données spatiales, Thèse d, 1991.

K. Zeitouni and B. De-cambray, Supporting the Semantics of 3D Geographical Space in GIS, Proceedings of Joint European Conference on Geographical Information, 1995.

K. Zeitouni, B. De-cambray, and T. Delpy, Topological Modelling for 3D GIS, 4th Int. Conf. on Computers in Urban Planning and Urban Management, 1995.

S. Zlatanova, On 3D Topological Relationships, Int, Database and Expert System Applications, pp.913-919, 2000.
DOI : 10.1109/dexa.2000.875135

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

M. Arlitt, R. Friedrich, L. Cherkasova, J. Dilley, and J. T. , Evaluating content management techniques for Web proxy caches, ACM SIGMETRICS Performance Evaluation Review, vol.27, issue.4, 1999.
DOI : 10.1145/346000.346003

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

N. Beckmann, K. H. Schneider, R. Seeger, and B. , An Efficient and Robust Access Method for Points and Rectangles, Proceeding ACM SIGMOD International Conference on Management of Data, pp.322-331, 1990.

O. Boucelma, M. Messid, and Z. Lacroix, A WFS-based mediation system for GIS interoperability, Proceedings of the tenth ACM international symposium on Advances in geographic information systems , GIS '02, 2002.
DOI : 10.1145/585147.585153

T. Branki and B. Defude, Data and Metadata: Two-Dimensional Integration Heterogeneous of Spatial Databases, Spatial Data Handling Conference Proceedings, pp.172-179, 1998.

T. Brinkhoff, A Robust and Self-tuning Page-Replacement Strategy for Spatial Database Systems, proceedings of the 8th International Conference on Extending Database Technology (EDBT'02), pp.533-552, 2002.
DOI : 10.1007/3-540-45876-X_34

J. Brown, A. Rao, and J. Baran, Automated GIS Conflation: Coverage Update Problems and Solutions, Proc. of Geographic Information Systems for Transportation Symposium (GIS-T'95), 1995.

P. Cao and S. Irani, Cost-Aware WWW Proxy Caching Algorithms, Proceedings of USENIX Symposium on Internet Technologies and Systems (USITS), pp.193-206, 1997.

M. J. Carey, F. M. Zaharioudakis, and M. , Fine-Grained Sharing in a Page Server, Object Oriented Database Management System (SIGMOD OODBMS'94), pp.359-370, 1994.

L. Chen, S. Wang, and E. A. Rundensteiner, Replacement strategies for XQuery caching systems, Data & Knowledge Engineering, vol.49, issue.2, pp.145-175, 2004.
DOI : 10.1016/j.datak.2003.10.002

B. Chidlovskii, C. Roncancio, and M. Schneider, Semantic CacheMechanism for Heterogeneous Web Querying, Proceedings of the 8th World-Wide WebConference (WWW8), 1999.
DOI : 10.1016/s1389-1286(99)00035-3

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

H. Chou and D. D. , An evaluation of buffer management strategies for relational database systems, Proceedings of the 11th VLDB Conference, 1985.
DOI : 10.1007/BF01840450

J. E. Corocoles and P. Gonzalez, Querying Spatial Resources. An Approach to the Semantic Geospatial Web, the 15th Conference on Advanced Information Systems Engineering (CAiSE '03) Workshop, Web, e-Business, and the Semantic Web WES: Foundations, Models, Architecture, Engineering and Applications, 2003.

S. Dar, F. M. , J. B. Srivastava, D. Tan, and M. , Semantic Data Caching and Replacement, Proceedings of the 22 VLDB Conference, 1996.

T. Devogele, Processus d'intégration et d'appariement de bases de données géographiques Application à une base de données routières multi-échelles, Thèse de doctorat, 1997.

T. Devogele, C. Parent, and S. Spaccapietra, On spatial database integration, International Journal of Geographical Information Science, vol.12, issue.4, 1998.
DOI : 10.1080/136588198241824

URL : http://infoscience.epfl.ch/record/99101

T. Devogele, A New Merging Process for Data Integration Based on the Discrete Fr??chet Distance, 10th International Symposium on Spatial Data Hangling
DOI : 10.1007/978-3-642-56094-1_13

D. Dewitt, P. Futtersack, D. Maier, and F. Velez, A study of Three Alternative Workstation-Server Architectures For Object-Oriented Database Systems, VLDB, Queesnland, Australia, pp.107-121, 1990.

Y. Gabay and Y. Doytsher, Automatic Adjustment of Line Maps, proceedings of GIS/LIS 94. Bethesda: ACSM-ASPRS-AAG-URISA-AM/FM, pp.332-340, 1994.

P. Godfrey and J. Gryz, Semantic Caching for Heterogeneous Databases, Proceedings of KRDB at VLDB, pp.61-66, 1997.

L. M. Haas, D. Kossmann, and I. Ursu, Loading a Cache with Query Results, proceedings of the 25th VLDB Conference, pp.351-362, 1999.

H. Kellerer, U. Pferschy, and D. Pisinger, Knapsack Problems, p.546, 2004.
DOI : 10.1007/978-3-540-24777-7

D. Lee and C. W. , Semantic caching via query matching for web sources, Proceedings of the eighth international conference on Information and knowledge management , CIKM '99, 1999.
DOI : 10.1145/319950.319960

P. Lorenzetti, L. Rizzo, and L. Vicisano, Replacement Policies for a Proxy Cache, Report, 1996.

S. Mustière and . Dess-cartographie, Measure of linear generalisation quality, 1995.

O. , N. E. , O. Neil, P. E. Weikum, and G. , The LRU-K Page Replacement Algorithm for Database Disk Buffering, SIGMOD, pp.297-306, 1993.

J. Park, Schema Integration Methodology and Toolkit for Heterogeneous and Distributed Geographic Databases, Journal of the Kore Industrial Information Systems Society, vol.6, p.3, 2001.

R. M. Pendyala, Development of GIS-Based Conflation Tools for Data Integration and Matching. Final Report: Executive Summary, pp.32399-0450, 2002.

L. Savary and K. Zeitouni, Spatial Data Warehouse ??? A Prototype, Second Electronic Government (EGOV) Conference, Joint conference to DEXA , Prague Czech Republic, pp.335-340, 2003.
DOI : 10.1007/10929179_60

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

L. Savary, G. Gardarin, and K. Zeitouni, Entrepôt de données spatiales basé sur GML : politique de gestion de cache, Poster aux 5èmes Journées d'Extraction et de Gestion des Connaissances, EGC 2005, Edition CEPADUES, 2005.

L. Savary and K. Zeitouni, Automated Linear Geometric Conflation for Spatial Data Warehouse Integration Process, 8th AGILE International Conference on Geographic Information Science, pp.23-32, 2005.
URL : https://hal.archives-ouvertes.fr/hal-00324637

L. Savary, G. Gardarin, and K. Zeitouni, GeoCache: A Cache for GML Geographical Data, International Journal of Data Warehousing and Mining (IJDWM)
URL : https://hal.archives-ouvertes.fr/hal-00325511

Y. Theodoridis and T. Sellis, A model for the prediction of R-tree performance, Proceedings of the fifteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems , PODS '96, pp.161-171, 1996.
DOI : 10.1145/237661.237705

R. Vatsavai, GML-QL: A Spatial Query Language Specification for GML, 78] Vivid Solutions, 2002.

A. Voisard and M. Juergens, Geographic Information Extraction: Querying or Quarrying? In Interoperating Geographic Information Systems, Goodchild M and Egenhofer M and, 1999.

D. Xiong and J. Sperling, Semiautomated matching for network database integration, ISPRS Journal of Photogrammetry and Remote Sensing, vol.59, issue.1-2, pp.35-46, 2004.
DOI : 10.1016/j.isprsjprs.2003.12.001

Q. Yang, H. Zhang, and H. Zhang, Taylor Series Prediction: A Cache Replacement Policy based on Second-Order Trend Analysis, 34th Annual Hawaii International Conference on System Sciences (HICSS-34)-Maui, 2003.

M. S. Zhang, A. Javed, and L. Gruenwald, Prototype for wrapping and visualizing geo-referenced data in a distributed environment using XML technology, Proceedings of the eighth ACM international symposium on Advances in geographic information systems , GIS '00, pp.27-32, 2000.
DOI : 10.1145/355274.355278

H. D. Chon, D. Agrawal, and A. Abbadi, Query Processing for Moving Objects with Space- Time Grid Storage Model, 2002.

I. Fernando, V. Lopez, R. T. Snodgrass, and B. Moon, Spatiotemporal Aggregate Computation: A Survey, 2004.

J. Gray, A. Bosworth, A. Layman, and H. Pirahesh, Data cube: a relational aggregation operator generalizing GROUP-BY, CROSS-TAB, and SUB-TOTALS, Proceedings of the Twelfth International Conference on Data Engineering, pp.152-159, 1996.
DOI : 10.1109/ICDE.1996.492099

C. Ho, R. Agrawal, N. Megiddo, and R. Srikant, Range Queries in OLAP Data Cubes, ACM SIGMOD, pp.73-88, 1997.

C. S. Jensen, A. Kligys, T. B. Pedersen, and I. Timko, Multidimensional data modeling for location-based services, Proceedings of the tenth ACM international symposium on Advances in geographic information systems , GIS '02, pp.1-21, 2004.
DOI : 10.1145/585147.585160

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

M. Jurgens and H. J. Lenz, The R/sub a/*-tree: an improved R*-tree with materialized data for supporting range queries on OLAP-data, Proceedings Ninth International Workshop on Database and Expert Systems Applications (Cat. No.98EX130), 1998.
DOI : 10.1109/DEXA.1998.707401

R. Kimball, Factless fact tables In Data Warehouse Architecture of DBMS on Line

P. Marchand, A. Brisebois, Y. Bédard, and G. Edwards, Implementation and evaluation of a hypercubebased method for spatio-temporal exploration and analysis, Journal ISPRS, vol.59, pp.1-2, 2004.

R. Mudu, Health effects and risks of transport systems: the HEARTS project, Collective publication authored by all the partners, World Health Organisation, 2006.

B. C. Ooi, K. J. Mcdonell, and R. Sack-davis, Spatial kd-tree: An indexing mechanism for spatial databases, IEEE COMPSAC Comp, 1987.

D. Papadias, Y. Tao, P. Kalnis, and J. Zhang, Indexing spatio-temporal data warehouses, Proceedings 18th International Conference on Data Engineering, pp.166-175, 2002.
DOI : 10.1109/ICDE.2002.994706

. S. Saltenis, . C. Jensen, . S. Leutenegger, and . M. Lopez, Indexing the Positions of Continuously Moving Objects, Proc of ACM SIGMOD, pp.331-342, 2000.

L. Savary and K. Et-zeitouni, Modélisation et analyse spatio-temporelle de la mobilité urbaine, pp.27-32, 2004.

L. Savary, T. Wan, and K. Zeitouni, Spatio-temporal data warehouse design for human activity pattern analysis, Proceedings. 15th International Workshop on Database and Expert Systems Applications, 2004., 2004.
DOI : 10.1109/DEXA.2004.1333576

J. Shanmugasundaram, U. Fayyad, and P. Bradley, Compressed data cubes for OLAP aggregate query approximation on continuous dimensions, Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '99, pp.223-232, 1999.
DOI : 10.1145/312129.312231

N. Stefanovic, J. Han, and K. Koperski, Object-based selective materialization for efficient implementation of spatial data cubes, IEEE Transactions on Knowledge and Data Engineering, vol.12, issue.6, pp.938-958, 2000.
DOI : 10.1109/69.895803

J. Sun, D. Papadias, Y. Tao, and B. Liu, Querying about the past, the present, and the future in spatio-temporal databases, Proceedings. 20th International Conference on Data Engineering, 2004.
DOI : 10.1109/ICDE.2004.1319997

T. Wan and K. Zeitouni, Modélisation d'objets mobiles dans un entrepôt de données, Edition CEPADUES, pp.343-348, 2005.

T. Wan and K. Zeitouni, Vers un entrepôt d'objets mobiles contraints par le réseau, Conférence INFORSID, pp.1055-1070, 2006.

T. Wan and K. Zeitouni, Représentation et indexation d'objets mobiles contraints par le réseau dans un entrepôt de données, Revue Nouvelles Technologies de l'Information (RNTI), Cépaduès Edition, pp.139-154, 2006.

K. Wu, O. Ekow, J. Shoshani, and A. , An efficient compression scheme for bitmap indices, 2004.
DOI : 10.2172/841308

K. Zeitouni, Lot 1 -Conception de la base de données mobilité" & "Lot 2 -Prototype et résultats, 2005.

D. Zhang, V. J. Tsotras, and D. Gunopulos, Efficient aggregation over objects with extent, Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems , PODS '02, 2002.
DOI : 10.1145/543613.543629

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

. Ainsi, la transformation de l'exemple de la Figure 23 est donnée dans la Figure 27

. Seulement, ces règles générales de transformation sont insuffisantes dans le cas de la classification spatiale et ce pour trois raisons. La première est qu'elles ne distinguent pas les valeurs de la classe. Pour y remédier, nous proposons l'ajout de la règle : (iv) chaque valeur de la classe devient un prédicat dont l'argument est l

. La-deuxième-raison-est and . Qu, elles ne permettent pas la combinaison des relations de voisinage et des propriétés des voisins. Pour ce faire, on modifie la règle (i) par : (v) la transformation des tables "Index " et "voisin" est remplacée par la génération de prédicats ?voisinage (Id, relation spatiale, attributs du voisinage)? où Id est l

. Enfin and . Faut-rajouter-les-règles-du-domaine, Ici, on rajoute la règle d'inclusion des relations de voisinage

R. Agrawal, T. Imielinski, and A. Swami, Mining Association Rules between sets of items in large databases, Proceedings of the ACM SIGMOD, pp.207-216, 1993.

C. Ambroise, M. V. Dang, and G. Govaert, Clustering of Spatial Data by the EM Algorithm, geoENV1-Geostatistics for Environmental Applications, pp.493-504, 1997.
DOI : 10.1007/978-94-017-1675-8_40

L. Anselin, What is special about spatial data? Alternative perspectives on spatial data analysis, Technical paper 89-4, 1989.

L. Anselin, Local Indicators of Spatial Association-LISA, Geographical Analysis, vol.25, issue.2, pp.93-115, 1995.
DOI : 10.1111/j.1538-4632.1995.tb00338.x

M. Aufaure, L. Yeh, and K. Zeitouni, Fouille de données spatiales Chapitre dans "Le temps, L'espace et l'évolutif en sciences du traitement de l'information, pp.319-328, 2000.

H. Blockeel and L. De-raedt, Top-down induction of first-order logical decision trees, Artificial Intelligence, vol.101, issue.1-2, pp.285-297, 1998.
DOI : 10.1016/S0004-3702(98)00034-4

A. Boulmakoul, K. Zeitouni, N. Chelghoum, and R. Marghoubi, Fuzzy structural primitives for spatial data mining, 2nd IEEE International Symposium on Signal Processing and Information Technology, pp.294-298, 2002.

A. Boulmakoul, R. Marghoubi, and K. Zeitouni, Utilisation des treillis de Galois pour l'extraction et la visualisation des règles d'association spatiales, Conférence INFORSID, pp.703-718, 2006.

A. Boulmakoul, K. Zeitouni, and R. Marghoubi, The Use of the Galois lattice for the extraction and the visualization of the spatial association rules, 6th IEEE International Symposium on Signal Processing and Information Technology, 2006.
URL : https://hal.archives-ouvertes.fr/hal-00324603

L. Breiman, J. H. Friedman, R. A. Olshen, and C. J. Stone, Classification and Regression Trees, 1984.

M. Ceci, A. Appice, and D. Malerba, Spatial Associative Classification at Different Levels of Granularity: A Probabilistic Approach, Knowledge Discovery in Databases: PKDD 2004, pp.99-111, 2004.
DOI : 10.1007/978-3-540-30116-5_12

N. Chelghoum, Fouille de données spatiales -Un problème de fouille de données multitables , Thèse de Doctorat de l'Université de Versailles-Saint-Quentin, 2004.

N. Chelghoum and K. Zeitouni, Arbre de décision spatial -Application en sécurité routière, 2001.

N. Chelghoum, K. Zeitouni, and A. Boulmakoul, Arbre de décision spatial multi-thèmes", 8ème rencontres de la Société Francophone de Classification, SFC'01, Pointe-à-Pitre, 2001.

N. Chelghoum, K. Zeitouni, and A. Boulmakoul, Fouille de données spatiales par arbre de décision multi-thèmes, Secondes Journées sur l'Extraction et la Gestion des Connaissances, pp.281-286, 2002.

N. Chelghoum, K. Zeitouni, and A. Boulmakoul, A Decision Tree for Multi-Layered Spatial Data, 10th International Symposium on Spatial Data Handling (SDH'02), pp.1-10, 2002.
DOI : 10.1007/978-3-642-56094-1_1

N. Chelghoum, Extension du projet TOPASE par la prise en compte des interactions entre le réseau viaire et l'environnement urbain, Convention PRISM-CERTU, 2004.

N. Chelghoum and K. Zeitouni, Spatial data mining implementation -Alternatives and performances, the 9th Brazilian Symposium on GeoInformatics, 2004.

N. Chelghoum, K. Zeitouni, T. Laugier, A. Fiandrino, and L. Loubersac, Fouille de données spatiales - Approche basée sur la programmation logique inductive, pp.529-540, 2006.

A. D. Cliff and J. K. Ord, Spatial autocorrelation, 1973.

N. A. Cressie, Statistics for spatial data, 1993.

M. Ester, H. P. Kriegel, J. Sander, and X. Xu, A density-Based algorithm for discovering clusters in lager spatial databases with noise, proceeding of second international conference on knowledge discovery and data mining, pp.226-231, 1996.

M. Ester, H. P. Kriegel, and J. Sander, Spatial data mining: A database approach, proceedings of 5th Symposium on Spatial Databases, 1997.
DOI : 10.1007/3-540-63238-7_24

M. Ester, A. Frommelt, H. Kriegel, and J. Sander, Algorithms for Characterization and Trend Detection in Spatial Databases, Proc. 4th Int. Conf. on Knowledge Discovery and Data Mining, 1998.

U. M. Fayyad, G. Piatetsky-shapiro, P. Smyth, and R. Uthurusamy, Advances in Knowledge Discovery and Data Mining, 1996.

S. Fotheringham and B. Zhan, A Comparison of Three Exploratory Methods for Cluster Detection in Spatial Point Patterns, Geographical Analysis, vol.152, issue.4, pp.200-218, 1996.
DOI : 10.1111/j.1538-4632.1996.tb00931.x

G. Gardarin, Internet, Intranet et bases de données : Data Web, Data Media, Data Warehouse, Data Mining, Editions Eyrolles, 1999.

A. Gatrell, T. Bailey, P. Diggle, and B. Rowlingson, Spatial Point Pattern Analysis and Its Application in Geographical Epidemiology, Transactions of the Institute of British Geographers, n° 21, pp.256-274, 1996.
DOI : 10.2307/622936

G. Govaert, Classification automatique et modèle de mélange: application aux données spatiales, Revue Internationale de Géomatique, Editions Hermès, pp.457-470, 1999.

J. Han, K. Koperski, and N. Stefanovic, GeoMiner: A System Prototype for Spatial Data Mining, Proc. ACM-SIGMOD Int. Conf. on Management of Data (SIGMOD'97), 1997.

Y. Huang, H. Xiong, S. Shekhar, and P. J. , Mining confident co-location rules without a support threshold, Proceedings of the 2003 ACM symposium on Applied computing , SAC '03, 2003.
DOI : 10.1145/952532.952630

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

Y. Huang, S. Sh, and H. Xiong, Discovering colocation patterns from spatial data sets: a general approach, IEEE Transactions on Knowledge and Data Engineering, vol.16, issue.12, pp.1472-1485, 2004.
DOI : 10.1109/TKDE.2004.90

F. Huguenin-richard, S. Lassarre, L. Yeh, and K. Zeitouni, Extraction de connaissances des bases de données spatiales en accidentologie routière, Journées Cassini, 2000.

. A. Knobbe, A. Siebes, V. Wallen, and M. G. Daniel, Multi-relational Decision Tree Induction, Proceedings of PKDD' 99, 1999.
DOI : 10.1007/978-3-540-48247-5_46

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

K. Koperski and J. Han, Discovery of spatial association rules in geographic information databases, Advances in Spatial Databases (SSD'95), pp.47-66, 1995.
DOI : 10.1007/3-540-60159-7_4

K. Koperski, J. Adhikary, and J. Han, Knowledge Discovery in Spatial Databases: Progress and Challenges, Proc. SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 1996.

K. Koperski, J. Han, and N. Stefanovic, An Efficient Two-Step Method for Classification of Spatial Data, proceedings of International Symposium on Spatial Data Handling (SDH'98), pp.45-54, 1998.

K. Koperski, A progressive refinement approach to spatial data mining, 1999.

K. Koperski, J. Han, and G. B. Marchisio, Mining Spatial and Image Data through Progressive Refinement Methods, Revue Internationale de Géomatique, pp.425-440, 2000.

N. Lavrac and S. Dzeroski, Inductive logic programming: Techniques and applications, pp.3-38, 1994.
DOI : 10.1007/3-540-63514-9

L. Lebart, Statistique exploratoire multidimensionnelle, Edition Dunod, 1997.

W. Lu and H. J. , Distance-Associated join indices for spatial range search, Proceeding of Eighth International Conference on Data Engineering, pp.284-292, 1992.

W. Lu, J. Han, and B. C. Ooi, Discovery of General Knowledge in Large Spatial Databases, Proc. of 1993 Far East Workshop on Geographic Information Systems (FEGIS'93), pp.275-289, 1993.

D. Malerba and F. A. Lisi, An ILP Method for Spatial Association Rule Mining, Notes of the ECML/PKDD 2001 Workshop on Multi-Relational Data Mining, pp.18-29, 2001.

R. Marghoubi, A. Boulmakoul, and K. Zeitouni, Spatial Mining with the Galois lattice for information technologies, Int. Conf. on Modeling and Simulation (ICMS'05), 2005.
URL : https://hal.archives-ouvertes.fr/hal-00324674

R. Marghoubi, Fouille de données spatiales -Utilisation des treillis de Galois pour l'extraction des règles d'association spatiales, Thèse de Doctorat de l'Université Hassan II, Faculté des Sciences et Techniques de Mohammedia, 2006.

H. J. Miller and J. Han, Geographic Data Mining and Knowledge Discovery, 2001.
DOI : 10.1002/9780470690819.ch19

R. Ng and J. Han, ?Efficient and effective clustering method for spatial data mining?, proceeding of international conference on very large database, pp.144-155, 1994.

S. Openshaw, M. Charlton, C. Wymer, and A. Craft, A Mark 1 Geographical Analysis Machine for the automated analysis of point data sets, International journal of geographical information systems, vol.19, issue.4, pp.335-358, 1987.
DOI : 10.1145/356924.356930

S. Openshaw, Developing Automated and Smart Spatial Pattern Exploration Tools for Geographical Information Systems Applications, The Statistician, vol.44, issue.1, pp.3-16, 1995.
DOI : 10.2307/2348611

J. K. Ord and A. Getis, Local Spatial Autocorrelation Statistics: Distributional Issues and an Application, Geographical Analysis, pp.287-306, 1995.
DOI : 10.1111/j.1538-4632.1995.tb00912.x

N. Pasquier, Y. Bastide, R. Taouil, and L. Lakhal, Efficient mining of association rules using closed itemset lattices, Information Systems, vol.24, issue.1, pp.25-46, 1999.
DOI : 10.1016/S0306-4379(99)00003-4

J. R. Quinlan, Induction of decision trees, Machine Learning, vol.1, issue.1, pp.82-106, 1986.
DOI : 10.1007/BF00116251

J. Sander, M. Ester, H. Kriegel, and X. Xu, Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and its Applications, Data Mining and Knowledge Discovery An International Journal, vol.2, issue.2, 1998.

G. Shaw and D. Wheeler, Statistical Techniques in Geographical Analysis, 1994.

S. Sh and Y. Huang, Discovering Spatial Co-location Patterns : A Summary of Results, Proc. of 7th Int. Symposium on Spatial and Temporal Databases (SSTD), 2001.

S. Sh, C. T. Lu, S. Chawla, and S. Ravada, Efficient Join Index Based Join Processing; A Clustering Approach, IEEE Transactions on Knowledge and Data Engineering, vol.15, issue.1, 2003.

V. K. Ravikanth, Oracle Corporation, Oracle Database 10g -Empowering Applications with Spatial Analysis and Mining, 2004.

S. Rinzivillo and F. Turini, Classification in Geographical Information Systems, 8th Conf. on Principles and Practice of Knowledge Discovery in Databases (PKDD), pp.374-385, 2004.
DOI : 10.1007/978-3-540-30116-5_35

S. Rinzivillo and F. Turini, Extracting spatial association rules from spatial transactions, Proceedings of the 2005 international workshop on Geographic information systems , GIS '05, pp.79-86, 2005.
DOI : 10.1145/1097064.1097077

J. F. Roddick and M. Spiliopoulou, A Bibliography of Temporal, Spatial and Spatio-Temporal Data Mining Research, ACM SIGKDD Explorations, vol.1, issue.1, 1999.

P. Valduriez, Join indices, ACM Transactions on Database Systems, vol.12, issue.2, pp.218-246, 1987.
DOI : 10.1145/22952.22955

W. Van-laer and L. De-raedt, How to Upgrade Propositional Learners to First Order Logic: a Case Study Chapter, Relational Data Mining, pp.235-261, 2001.

T. Yeh, Spot, Proceedings of the seventh ACM international symposium on Advances in geographic information systems , GIS '99, pp.5-6, 1999.
DOI : 10.1145/320134.320161

J. S. Yoo and S. Sh, A Join-less Approach for Mining Spatial Co-location Patterns, to appear, IEEE Transactions on Knowledge and Data Engineering, 2006.

S. Zeghache, F. Admane, and K. Elarabia-ziane, Outil de datamining spatial appliqué à l'analyse des risques liés au territoire, Poster, 6èmes Journées d'Extraction et de Gestion des Connaissances, pp.723-724, 2006.

K. Zeitouni, Etude de l'application du data mining à l'analyse spatiale du risque d'accidents routiers par l'exploration des bases de données en accidentologie, 1999.

K. Zeitouni, Data Mining Spatial -Numéro spécial de la Revue Internationale de Géomatique, Editions Hermès, vol.9, issue.4, 1999.

K. Zeitouni and L. Yeh, Le data mining spatial et les bases de données spatiales, Revue Internationale de Géomatique, Editions Hermès, pp.389-423, 1999.

K. Zeitouni, A Survey of Spatial Data Mining Methods Databases and Statistics Point of Views, 11th Information Resources Management Association International Conference Data Warehousing and Mining Track, pp.487-491, 2000.
DOI : 10.4018/978-1-931777-02-5.ch013

K. Zeitouni, L. Yeh, and M. A. Aufaure, Join indices as a tool for spatial data mining", International Workshop on Temporal, Spatial and Spatio-Temporal Data Mining, in conjunction with PKDD, pp.102-114, 2000.

K. Zeitouni and N. Chelghoum, Spatial decision tree-application to traffic risk analysis, Proceedings ACS/IEEE International Conference on Computer Systems and Applications, 2001.
DOI : 10.1109/AICCSA.2001.933978

K. Zeitouni, . Book, and . Chapter, A Survey of Spatial Data Mining Methods Databases and Statistics Point of Views, Data Warehousing and Web Engineering, pp.229-242, 2002.
DOI : 10.4018/978-1-931777-02-5.ch013

T. Zhang, R. Ramakrishnan, and M. Livny, BIRCH: An Efficient Data Clustering Method for Very Large Databases, SIGMOD Conference, pp.103-114, 1996.

L. Zhe and A. R. Kenneth, Fast joins using join indices, The VLDB Journal, vol.8, pp.1-24, 1998.

A. Zighed and R. Ricco, Graphes d'induction -Apprentissage et Data Mining Edition Hermès Sciences, 2000. caractéristiques. Nous avons contribué par la proposition de nouveaux algorithmes (IBM pour les séquences et CKNN pour le texte) ou de nouvelles approches générales (DocCat) qui améliorent les coûts algorithmiques et

R. Agrawal and R. Srikant, Fast Algorithms for Mining Association Rules, Proc. of the 20th Int. Conf. Very Large Data Bases (VLDB), 1994.

R. Agrawal and R. Srikant, Mining sequential patterns, Proceedings of the Eleventh International Conference on Data Engineering, 1995.
DOI : 10.1109/ICDE.1995.380415

E. Gabrilovich, A Bibliography on Automated Text Categorization, 2006.

G. Gardarin, H. Kou, and K. Zeitouni, DocCat : un composant logiciel de catégorisation de documents et de marquage sémantique XML, revue RSTI-série ISI (Ingénierie des Systèmes d'Information), Editions Hermès, Systèmes d'information et langage naturel, pp.33-54, 2003.
DOI : 10.3166/isi.8.3.33-54

G. Gardarin, P. Pucheral, and F. Wu, Bitmap Based Algorithms for Mining Association Rules, BDA, vol.98, pp.157-175, 1998.

E. Han and G. Karpis, Centroid-Based Document Classification: Analysis and Experimental Results, European Conference on Principles of Data Mining and Knowledge Discovery(PKDD), pp.424-431, 2000.
DOI : 10.1007/3-540-45372-5_46

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

E. Han, G. Karypis, and K. Vipin, Text Categorization Using Weight Adjusted k-Nearest Neighbor Classification, 1999.
DOI : 10.1007/3-540-45357-1_9

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

J. Han, H. M. Jamil, Y. Lu, L. Chen, Y. Liao et al., A system prototype for mining DNA sequences, the proc. of the ACM SIGMOD International Conference on the management of data, 2001.

P. Hayes and S. Weinstein, TIS: a system for content-based indexing of a database of news stories», second Annual conference on Innovative Applications of Artificial Intelligence, 1990.

A. Jay, T. G. Johannes, and J. F. , Sequential Pattern Mining using A Bitmap Representation, pp.429-435, 2002.

T. Joachims, «A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization», the 14 th Int. Conf. Machine Learning, pp.143-151, 1997.

T. Joachims, Text categorization with Support Vector Machines: Learning with many relevant features, proceedings of the European conference on Machine learning, pp.137-142, 1998.
DOI : 10.1007/BFb0026683

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

G. Karypis, E. Han, and . «concept-indexing, Fast supervised dimensionality reduction algorithm with applications to document categorization & retrieval, Proceedings of the ninth international conference on Information and knowledge management , CIKM '00, 2000.
DOI : 10.1145/354756.354772

H. Kou, Génération d'adaptateurs web intelligents à l'aide de techniques de fouille de texte, Thèse de Doctorat de l'Université de Versailles-Saint-Quentin, 2003.

H. Kou and G. Gardarin, Study of category score algorithms for k-NN classifier, Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '02, pp.393-394, 2002.
DOI : 10.1145/564376.564460

H. Kou, G. Gardarin, and K. Zeitouni, «Approaches to Feature Selection for Document Categorizations», the proceedings of the 8 th international conference NLDB, 2003.

H. Kou and G. Gardarin, Similarity Model and Term Association for Document Categorization, the 7th International Workshop on Applications of Natural Language to Information Systems, 2002.
DOI : 10.1007/3-540-36271-1_22

H. Kou, G. Gardarin, A. Heygère, and K. Zeitouni, «Application of k-NN Classifier to Categorizing French Financial News», Proc of IASTED International Conference Artificial Intelligence and Applications, 2002.

K. Lang, NewsWeeder: Learning to Filter Netnews, Proc. of the 12th Int. Conf. on Machine Learning, pp.331-339, 1995.
DOI : 10.1016/B978-1-55860-377-6.50048-7

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

D. D. Lewis92-), An evaluation of phrasal and clustered representations on a text categorization task, Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '92, pp.37-50, 1992.
DOI : 10.1145/133160.133172

D. D. Lewis and M. Ringuette, «Comparison of two learning algorithms for text categorization», Proceedings of the 3 rd Annual Symposium on Document Analysis and Information Retrieval (SDAIR'94), pp.81-93, 1994.

F. Masseglia, P. Poncelet, and M. Teisseire, Incremental mining of sequential patterns in large databases, Data & Knowledge Engineering, vol.46, issue.1, pp.97-121, 2003.
DOI : 10.1016/S0169-023X(02)00209-4

URL : https://hal.archives-ouvertes.fr/lirmm-00269547

A. Mccallum and K. Nigam, «A Comparison of Event Models for Naïve Bayes Text Classification», AAA I- 98 workshop on Learning for Text Categorization, 1998.

J. Pei, J. Han, B. Mortazavi-asl, H. Pinto, Q. Chen et al., PrefixSpan: mining sequential patterns efficiently by prefix-projected pattern growth, Proceedings of the 17th International Conference on Data Engineering, pp.215-224, 2001.

. Porter, «An algorithm for suffix stripping», Program, pp.130-137, 1980.

G. Salton, Introduction to Modern Information retrieval, 1983.

G. Salton, Automatic Text Processing: The Transformation, Analysis, and Retrieval of Information by Computer, 1989.

L. Savary, Contributions à l'extraction des connaissances dans les bases de données spatiotemporelles, Thèse de Doctorat de l'Université de Versailles-Saint-Quentin, 2005.

L. Savary and K. Zeitouni, Mining Multidimensional Sequential Rules -A Characterization Approach, Proceedings of The First International Workshop on Mining Complex Data MCD'05, In conjunction with ICDM'05, 2005.
URL : https://hal.archives-ouvertes.fr/hal-00324628

L. Savary and K. Zeitouni, Indexed Bit Map (IBM) for Mining Frequent Sequences, 9th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD 2005), pp.659-666, 2005.
DOI : 10.1007/11564126_70

URL : https://hal.archives-ouvertes.fr/hal-00324633

S. Shankar and G. Karypis, «Weight adjustment schemes for a centroid based classifier», 2000.

R. Srikant and R. Agrawal, Mining sequential patterns: Generalizations and performance improvements, Proceedings of the 15th International Conference on Extending Database Technology, pp.3-17, 1996.
DOI : 10.1007/BFb0014140

URL : http://arbor.ee.ntu.edu.tw/~chyun/dmpaper/srikms96.pdf

D. Tkach and . «text-mining, Turning Information Into Knowledge». a white paper from IBM http://www- 1.ibm.com/support/support_doc/swg/s0028, 1998.

Y. Tuba and H. A. Guvenir, «Application of k-Nearest Neighbor on Feature Projections Classifier to Text Categorization», Proceedings of ISCIS-98, 13 th International Symposium on Computer and Information Sciences, pp.135-142, 1998.

V. Vapnik, The Nature of Statistical Learning Theory, 1995.

T. Wan and K. Zeitouni, Extraction de motifs fréquents multi-supports Application aux données symboliques », 10èmes rencontres de la Société Francophone de Classification (10ème SFC), Edition PAN, pp.189-192, 2003.

T. Wan and K. Zeitouni, Mining Association rules with Multiple Min-supports -Application to Symbolic Data, Student Journal, vol.5, issue.1, pp.59-74, 2004.
URL : https://hal.archives-ouvertes.fr/hal-00324567

Y. Yang and J. O. Pederson, «A Comparative Study on Feature Selection in Text Categorization», the 14 th Int. Conf. On Machine Learning, pp.412-420, 1997.

Y. Yang, «An evaluation of statistical approaches to text categorization», Information Retrieval, vol.1, issue.1/2, pp.69-90, 1999.
DOI : 10.1023/A:1009982220290

Y. Yang, A study of thresholding strategies for text categorization, Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '01, 2001.
DOI : 10.1145/383952.383975

. M. Zaki, SPADE: an efficient algorithm for mining frequent sequences, Machine Learning, vol.42, issue.1/2, pp.31-60, 2001.
DOI : 10.1023/A:1007652502315

S. Un and . Un-système, Information au sens large capable de répondre à toute la chaîne de traitement des données géographiques. Il se caractérise par cinq fonctionnalités connues sous le nom des 5A, à savoir : Acquisition

A. and N. Edigéo, Echanges de Données Informatisées dans le domaine de l'information Géographique), normalisation française, French standard, pp.13-150, 1992.

Y. Bai, Y. Guo, X. Meng, T. Wan, and K. Zeitouni, Efficient Dynamic Traffic Navigation with Hierarchical Aggregation Tree The Eighth Asia Pacific Web Conference, Proceedings of APWeb 2006 will be published by Springer in its Lecture Notes in Computer Science series, 2006.

J. Barde, T. Libourel, and P. Maurel, Ontologies et métadonnées pour le partage d'information géographique, Revue Internationale de Géomatique « Les ontologies spatiales, pp.199-216, 2004.
DOI : 10.3166/rig.14.199-216

C. Julien, Intégration de la cartographie numérique dans un système hypermedia, 1999.

V. Gaede and O. Gunther, Multidimensional access methods, ACM Computing Surveys, vol.30, issue.2, pp.170-231, 1998.
DOI : 10.1145/280277.280279

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

S. C. Guptill, Multiple Representations of Geographic Entities through Space and Time, 4 th Int. Symp. on Spatial Data Handling, Switzerland, pp.859-868, 1990.

R. H. Güting, An introduction to spatial database systems, The VLDB Journal, vol.6, issue.4, pp.357-399, 1994.
DOI : 10.1007/BF01231602

I. Dis, Geographic information ? Metadata ISO TC 211, pp.2000-2012, 2000.

I. Iec, Information technology ? Database languages ? SQL multimedia and application packages ? Part 3: Spatial, 2003.

K. Dahmani and H. , Mise à jour des bases de données géographiques et maintien de leur cohérence, 2005.

M. Kornacker and D. Banks, High-Concurrency Locking in R-Trees, 21th Int. Conf. on Very Large Data Bases, VLDB'95, pp.134-145, 1995.

L. Laurini and D. Thompson, Fundamentals of spatial information systems, The A.P.I.C. Series (n° 37), 1992.

D. J. Peuquet, A CONCEPTUAL FRAMEWORK AND COMPARISON OF SPATIAL DATA MODELS, Cartographica: The International Journal for Geographic Information and Geovisualization, vol.21, issue.4, pp.66-113, 1984.
DOI : 10.3138/D794-N214-221R-23R5

P. Rigaux, M. Scholl, and A. Voisard, Spatial databases with application to GIS, 2002.
URL : https://hal.archives-ouvertes.fr/hal-01124647