D. M. Arya, N. S. Mount, R. Netanyahu, A. Y. Silverman, and . Wu, An optimal algorithm for approximate nearest neighbor searching fixed dimensions, Journal of the ACM, vol.45, issue.6, pp.891-923, 1998.
DOI : 10.1145/293347.293348

H. Rakesh-agrawal, R. Mannila, H. Srikant, A. Toivonen, ]. Inkeri-verkamoash94 et al., Fast discovery of association rules Human Memory and Cognition A framework for expressing and combining preferences [Bay63] Rev. Thomas Bayes. An essay toward solving a problem in the doctrine of chances, advances in knowledge discovery and data miningBBK01] Christian Böhm, Stefan Berchtold, and Daniel A. Keim. Searching in high-dimensional spaces : Index structures for improving the performance of multimedia databases, pp.307-328297, 1763.

S. Berchtold, C. Böhm, D. A. Keim, H. Michael, and K. Bergman, A cost model for nearest neighbor search in high-dimensional data space The deep web : Surfacing hidden value, PODS '97 : Proceedings of the sixteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systemsBer06] P. Berkhin. A survey of clustering data mining techniques. In Grouping Multidimensional Data : Recent Advances in Clustering, pp.78-86, 1997.

[. Bhattacharya, L. Getoor, and L. Licamele, Query-time entity resolution, Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '06, pp.64-72, 1998.
DOI : 10.1145/1150402.1150463
URL : http://arxiv.org/abs/1111.0045

K. S. Beyer, J. Goldstein, R. Ramakrishnan, and U. Shaft, When Is ???Nearest Neighbor??? Meaningful?, ICDT '99 : Proceedings of the 7th International Conference on Database Theory, pp.217-235, 1999.
DOI : 10.1007/3-540-49257-7_15

K. Bharat and M. R. Henzinger, Improved algorithms for topic distillation in a hyperlinked environment, Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '98, pp.104-111, 1998.
DOI : 10.1145/290941.290972

A. Bhalotia, C. Hulgeri, S. Nakhe, S. Chakrabarti, F. Henry et al., Keyword searching and browsing in databases using BANKS, Proceedings 18th International Conference on Data Engineering, pp.431-440, 2002.
DOI : 10.1109/ICDE.2002.994756

N. Beckmann, H. Kriegel, R. Schneider, B. Seeger-[-bmrb96-]-bernadette-bouchon-meunier, M. Rifqi et al., The R*-tree: an efficient and robust access method for points and rectangles, Fuzzy logic for the management of uncertainty, pp.322-331143, 1990.
DOI : 10.1145/93605.98741

[. Bosc, O. Pivert, and D. Rocacher, On the Approximate Division of Fuzzy Relations, ISMISBPR07] P. Bosc, O. Pivert, and D. Rocacher. About quotient and division of crisp and fuzzy relations, pp.314-322, 2005.
DOI : 10.1007/11425274_33

. Osqr, Merging Distributed Database Summaries, CIKM '05 : Proceedings of the 14th ACM international conference on Information and knowledge management Conference on Information and Knowledge Management (CIKM)BRM08] Mounir Bechchi, Guillaume Raschia, and Noureddine Mouaddib. Joining Distributed Database Summaries. Research Report RR-6768, pp.239-240, 2005.

A. Borodin, G. O. Roberts, J. S. Rosenthal, and P. Tsaparas, Finding authorities and hubs from link structures on the World Wide Web, Proceedings of the tenth international conference on World Wide Web , WWW '01, pp.415-429, 2001.
DOI : 10.1145/371920.372096

M. Bechchi, A. Voglozin, G. Raschia, and N. Mouaddib, Multi-Dimensional Grid-Based Clustering of Fuzzy Query Results, Baeza-Yates and Berthier Ribeiro-Neto. Modern Information Retrieval, 2008.
URL : https://hal.archives-ouvertes.fr/inria-00346540

J. P. Callan, W. B. Croft, and S. M. Harding, The INQUERY Retrieval System, Proceedings of the Third International Conference on Database and Expert Systems Applications, pp.78-83, 1992.
DOI : 10.1007/978-3-7091-7557-6_14

W. W. Chu, Q. Chen, and A. Hwang, Query answering via cooperative data inference, Journal of Intelligent Information Systems, vol.28, issue.1
DOI : 10.1007/BF01014020

S. Chaudhuri and S. Hwang, Automatic categorization of query results An error-based conceptual clustering method for providing approximate query answers Automated ranking of database query results, SIGMOD '04 : Proceedings of the 2004 ACM SIGMOD international conference on Management of dataCD03] Surajit Chaudhuri and Gautam Das CIDR, pp.57-87, 1994.

[. Chaudhuri, G. Das, V. Hristidis, G. W. Chang, B. He et al., Probabilistic ranking of database query results VLDB Endowment Querying with intrinsic preferences, Proceedings of the Thirtieth international conference on Very large data bases Mitesh Patel, and Zhen Zhang. Structured databases on the web : observations and implications. SIGMOD Rec. EDBT '02 : Proceedings of the 8th International Conference on Extending Database Technology [Cho03] Jan Chomicki. Preference formulas in relational queries, pp.888-89961, 2002.

C. Caragea, A. Silvescu, and V. Honavar, Retrieval time from semantic memory A model of cluster searching based on classification Decision tree induction from distributed heterogeneous autonomous data sources, Proceedings of the International Conference on Intelligent Systems Design and Applications Sivakumar, and H. Kargupta. Collective mining of bayesian networks from distributed heterogeneous data, pp.1499-1525240, 1969.

. Bolin-ding, S. Xu, L. Wang, X. Qin, X. Zhang et al., Finding top-k min-cost connected trees in databases, ICDE, pp.836-845, 2007.

D. H. Fis87 and . Fisher, Knowledge acquisition via incremental conceptual clustering Optimal aggregation algorithms for middleware, ICML '98 : Proceedings of the Fifteenth International Conference on Machine LearningFLN01] Ronald Fagin, Amnon Lotem, and Moni Naor PODS '01 : Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, pp.179-187139, 1987.

H. Ferhatosmanoglu, E. Tuncel, D. Agrawal, and . Abbadi, Approximate nearest neighbor searching in multimedia databases, Proceedings 17th International Conference on Data Engineering, pp.503-511, 2001.
DOI : 10.1109/ICDE.2001.914864

J. Galindo, Handbook of Research on Fuzzy Information Processing in Databases Information Science Reference, Tilo Balke, and Werner Kießling. Optimizing multi-feature queries for image databases, 2008.

A. David, O. Grossman, and . Frieder, Information Retrieval : Algorithms and Heuristics (The Kluwer International Series on Information Retrieval)

G. Godfrey, Distributed clustering with limited knowledge sharing Minimization in cooperative response to failing database queries, Nonstandard queries and nonstandard answers : studies in logic and computationGM03] Joydeep Ghosh and Srujana Merugu Proceedings of the 5th International Conference on Advances in Pattern Recognition (ICAPR)GSM02] Joydeep Ghosh, Alexander Strehl, and Srujana Merugu. A consensus framework for integrating distributed clusterings under limited knowledge sharing, pp.1-40, 1994.

A. Guttman, ]. G. Halford, R. Baker, J. E. Mccredden, and J. D. Bain, R-trees : a dynamic index structure for spatial searching How many variables can humans process ? Psychological Science On clustering validation techniques, Proc. NSF Workshop on Next Generation Data Mining Readings in database systemsHBV01] Maria Halkidi, pp.99-108, 1988.

H. Taher, A. Haveliwala, D. Gionis, P. Klein, and . Indyk, Evaluating strategies for similarity search on the web, WWW '02 : Proceedings of the 11th international conference on World Wide Web, pp.432-442, 2002.

V. The, A. Marti, J. O. Hearst, and . Pedersen, Reexamining the cluster hypothesis : scatter/gather on retrieval results, SIGIR '96 : Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval Discover : keyword search in relational databases, pp.256-273, 1996.

H. T. Hastie, R. Tibshirani, J. H. Friedman-yang, and P. S. Yu, VLDB Endowment The Elements of Statistical Learningmeans clustering algorithm Blinks : ranked keyword searches on graphs, VLDB '02 : Proceedings of the 28th international conference on Very Large Data Bases SIGMOD '07 : Proceedings of the 2007 ACM SIGMOD international conference on Management of data, pp.670-681100, 1979.

F. Ihab, G. Ilyas, M. A. Beskales, and . Soliman, A survey of top-k query processing techniques in relational database systems, ACM Comput. Surv, vol.40, issue.4, pp.1-58, 2008.

L. Erik, H. Johnson, and . Kargupta, Collective, hierarchical clustering from distributed, heterogeneous data In Large-Scale Parallel Data Mining, JKP03] Eshref Januzaj, Hans-Peter Kriegel, and Martin Pfeifle. Towards effective and efficient distributed clustering, pp.221-244, 1999.

E. Pierre, N. Jouve, C. J. Jardine, ]. S. Van-rijsbergenkap83, and . Kaplan, A new method for combining partitions, applications for distributed clustering BIBLIOGRAPHY The use of hierarchical clustering in information retrieval Cooperative responses from a portable natural language database query system Query rewriting based on user's profile knowledge, Machine Learning and Data Mining (ECML/PKDD03) Computational Models of DiscourseKBL07] Dimitre Kostadinov, Mokrane Bouzeghoub, and Stéphane Lopes BDA, pp.35-46217, 1971.

N. Kapoor, G. Das, V. Hristidis, S. Sudarshan, and G. Weikum, Star : A system for tuple and attribute ranking of query answers [KI05] Georgia Koutrika and Yannis Ioannidis. A unified user profile framework for query disambiguation and personalization, ICDE Proceedings of Workshop on New Technologies for Personalized Information AccessKie02] Werner Kießling. Foundations of preferences in database systems, pp.1483-1484, 2005.

J. M. Kleinberg, Authoritative sources in a hyperlinked environment, Journal of the ACM, vol.46, issue.5
DOI : 10.1145/324133.324140

J. , A. M. Klusch, S. Lodi, and G. Moro, Distributed clustering based on sampling local density estimates, IJCAIKM92] Jyrki Kivinen and Heikki Mannila. Approximate dependency inference from relations, pp.604-632, 1999.

R. [. Klement, E. Mesiar, and . Pap, Triangular norms, 2000.
DOI : 10.1007/978-94-015-9540-7

[. Lewis, Dying for information : An investigation into the effects of information overload in the usa and worldwide. Reuters Limited, 1996. [Lin04] Tancred Lindholm. A three-way merge for xml documents, DocEng '04 : Proceedings of the 2004 ACM symposium on Document engineering ACM. [LL87] M. Lacroix and Pierre Lavency. Preferences ; putting more knowledge into queries, pp.1-10, 2004.

M. Li, L. Wang, H. Lim, K. Wang, and . Chang, Supporting ranking and clustering as generalized order-by and group-by, Proceedings of the 2007 ACM SIGMOD international conference on Management of data , SIGMOD '07
DOI : 10.1145/1247480.1247496

K. W. In, J. T. Spense, and . Spense, The psychology of learning and motivation, pp.327-372, 1967.

S. D. Macarthur, C. E. Brodley, A. C. Ka, L. S. Broderick, M. Merzbacher et al., Interactive Content-Based Image Retrieval Using Relevance Feedback, Proceedings of AAAI Workshop on Knowledge DiscoveryMen02] T. Mens. A state-of-the-art survey on software merging, pp.55-75, 1993.
DOI : 10.1006/cviu.2002.0977

G. A. Miller, The magical number seven, plus or minus two : Some limits on our capacity for processing information, IEEE Trans. Softw. Eng, vol.28, issue.5, pp.449-462, 2002.

M. C. In, G. T. Yovits, G. D. Jacobi, and . Goldstein, Conference on Self-Organizing Systems. Spartan Books, 1962. [ML05] I. Muslea and T. Lee. Online query relaxation via bayesian causal structures discovery, Proceedings of the Twentieth National Conference on Artificial Intelligence (AAAI), pp.831-836, 2005.

A. Motro, Query generalization : a method for interpreting null answers, Proceedings from the first international workshop on Expert database systems, pp.597-616, 1986.

A. Motro, VAGUE: a user interface to relational databases that permits vague queries, ACM Transactions on Information Systems, vol.6, issue.3
DOI : 10.1145/45945.48027

M. V. Ramakrishna, Query processing issues in image (multimedia) databases, Proceedings of the 7th International Workshop on the Web and Databases Proceedings of the 15th International Conference on Data Engineering, pp.73-78, 1999.

Y. Andrew, A. X. Ng, M. I. Zheng, and . Jordan, Stable algorithms for link analysis, SIGIR '01 : Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval, pp.258-266, 2001.

P. [. Özsu and . Valduriez, Principles of distributed database systems

I. Prentice-hall, . Upper-saddle-river, U. Nj, and M. R. Quillian, Semantic memory, Semantic Information ProcessingQui93] J. Ross Quinlan. C4.5 : programs for machine learning, pp.227-270, 1968.

[. Roussopoulos, S. Kelley, F. Vincentrm75, ]. E. Rosch, C. B. Mervis et al., Nearest neighbor queries Family ressemblances : studies in the internal structure of categories SAINTETIQ : a fuzzy set-based approach to database summarization. Fuzzy Sets Syst The probability ranking principle in ir, SIGMOD '95 : Proceedings of the 1995 ACM SIGMOD international conference on Management of data Readings in information retrievalSal89] Gerard Salton. Automatic text processing : the transformation, analysis, and retrieval of information by computer, pp.71-79573, 1969.

. Wavecluster, [SD06] Parag Singla and Pedro Domingos. Entity resolution with markov logic Bang-clustering : A novel grid-clustering algorithm for huge data sets, The VLDB Journal ICDM '06, pp.3-4289, 2000.

[. Steinbach, L. Ertöz, V. Kumarsel77, ]. S. Selkow, A. Strehl et al., The challenges of clustering high-dimensional data In New Vistas in Statistical Physics : Applications in Econophysics The tree-to-tree editing problem Information processing letters Cluster ensembles ? a knowledge reuse framework for combining multiple partitions How big is a chunk ? Science The three dimensions of data consistency, She97] David Shenk. Data Smog : Surviving the Information Glut Journées Francophones sur la Cohérence des Données en Univers Réparti (CDURSM86] Gerard Salton and Michael J. McGill. Introduction to Modern Information Retrieval, pp.273-307, 1974.

F. Nagiza, G. Samatova, A. Ostrouchov, A. V. Geist, and . Melechko, Rachet : An efficient cover-based merging of clustering hierarchies from distributed data- sets

U. Schultz and B. Vandenbosch, Information Overload in a Groupware Environment: Now You See It, Now You Don't, SWHL06] Weifeng Su, Jiying Wang, Qiong Huang, and Fred Lochovsky CIKM '06 : Proceedings of the 15th ACM international conference on Information and knowledge management SIGMOD '05 : Proceedings of the 2005 ACM SIGMOD international conference on Management of dataTah77] V. Tahani. A conceptual framework for fuzzy query processing : A step toward very intelligent database systems, pp.127-148, 1998.
DOI : 10.1145/3894.3895

. Inf, . Process, W. A. Manage, G. Voglozin, L. Raschia et al., Querying the SaintEtiQ summaries -a first attempt Trading quality for time with nearest neighbor search, 6th International Conference on Flexible Query Answering Systems EDBT '00 : Proceedings of the 7th International Conference on Extending Database Technology, pp.171-182, 1975.

[. Wu, C. Faloutsos, K. P. Sycara, and T. R. Payne, Falcon : Feedback adaptive loop for content-based retrieval

M. M. Weil and L. D. Rosen, TechnoStress : Coping With Technology Work Home Play

J. Wiley, S. Wang, J. Yang, and R. R. Muntz, STING : A statistical information grid approach to spatial data mining Hans-Peter Kriegel. A fast parallel clustering algorithm for large spatial databases, Twenty-Third International Conference on Very Large Data Bases Principles of database query processing for advanced applications, pp.186-195263, 1997.

]. L. Zad99, . Zadeh-oren, O. Zamir, and . Etzioni, Concept of a linguistic variable and its application to approximate reasoning Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets Syst Grouper : a dynamic clustering interface to web search results A constrained edit distance between unordered labeled trees Learning to cluster web search results Some max snp-hard results concerning unordered labeled trees Fquery for access : towards human consistent querying user interface, Zadeh. Fuzzy sets. Information and Control WWW '99 : Proceedings of the eighth international conference on World Wide Web SIGIR '04 : Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrievalZK96] Slawomir Zadrozny and Janusz Kacprzyk SAC '96 : Proceedings of the 1996 ACM symposium on Applied ComputingZlo75] Moshé M. Zloof. Query-by-example : the invocation and definition of tables and forms, pp.338-353119, 1956.