Knowledge discovery with clustering based on rules. Interpreting results

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1510, Issue , 1998, Pages 83-92

  Gibert, Karina ^a   Aluja, Tomàs ^a   Cortés, Ulises ^b  

^a Dep of Statistics and Operation Research   (Spain)

^b UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

Author keywords

Combining many methods in one system; From concept learning to concept discovery; Medicine: Diagnosis and prognosis; Prior domain knowledge and use of discovered knowledge; Statistical tests in KDD applications

Indexed keywords

CLUSTER ANALYSIS; CLUSTERING ALGORITHMS; DATA VISUALIZATION; DIAGNOSIS; INFORMATION MANAGEMENT; KNOWLEDGE BASED SYSTEMS; LEARNING SYSTEMS; STATISTICAL TESTS;

COMBINING MANY METHODS IN ONE SYSTEM; CONCEPT DISCOVERIES; DATA ANALYSIS TECHNIQUES; DIAGNOSIS AND PROGNOSIS; DOMAIN KNOWLEDGE; GRAPHICAL REPRESENTATIONS; NON-PARAMETRIC TECHNIQUES; TRADITIONAL CLUSTERING;

DATA MINING;

EID: 84947703358     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0094808     Document Type: Conference Paper

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