A method for aggregating partitions, applications in K.D.D.

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 2637, Issue , 2003, Pages 411-422

  Jouve, Pierre Emmanuel ^a   Nicoloyannis, Nicolas ^a  

^a UNIVERSITÉ LUMIÈRE LYON 2   (France)

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; KNOWLEDGE ENGINEERING; PROBLEM SOLVING; SET THEORY; ARTIFICIAL INTELLIGENCE; COMPUTERS;

DATA SET; KNOWLEDGE DISCOVERY; PARAMETER SETTING; PARTIAL STRUCTURE;

DATABASE SYSTEMS; DATA MINING;

COMPUTING TIME; DATA SET; GLOBAL STRUCTURE; KNOWLEDGE DISCOVERY IN DATABASE; PARAMETERS SETTING; PARTIAL STRUCTURES; PRACTICAL PROBLEMS; SUB-STRUCTURES;

EID: 7444258544     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/3-540-36175-8_41     Document Type: Conference Paper

References (6)

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3. Hansen, P., Jaumard, B., Sanlaville, E.: in Diday, Lechevallier, Schader, Bertrand, Burtschy (Eds): Partitionning Problems in Clustering Analysis: A Review of Mathematical Programming Approaches. edn Springer-Verlag, Berlin. (1994) 228-240
4. Levine, E., Domany, E.: Resampling Method for Unsupervised Estimation of Cluster Validity. in Neural Computation, Vol. 13. (2001) 2573-2593
5. Merz, C., Murphy, P.: UCI repository of machine learning databases. http://www.ics.uci.edu/#mlearn/mlrepository.html. (1996)
6. Nicoloyannis, N., Terrenoire, M., Tounissoux, D.: An Optimisation Model for Aggregating Preferences: A Simulated Annealing Approach. in Health and System Science, Vol. 2. Hermes (1998) 33-44