CORD: A hybrid approach for efficient clustering of ordinal data using fuzzy logic and Self-organizing Maps

WEBIST 2010 - Proceedings of the 6th International Conference on Web Information Systems and Technology

Volumn 1, Issue , 2010, Pages 297-306

  Hoebel, Natascha ^a   Kreuzer, Stanislav ^a  

^a GOETHE UNIVERSITY   (Germany)

Author keywords

Clustering; Optimization; Ordinal data; User profile analysis; Web mining

Indexed keywords

CATEGORICAL DATA; CLUSTERING; CLUSTERING APPROACH; FUZZY CENTROID; HYBRID APPROACH; HYBRID CLUSTERING; HYBRID SOLUTION; INITIAL POSITION; ITERATIVE COMPUTATION; K-MODES ALGORITHM; LARGE AMOUNTS OF DATA; LARGE DATASETS; MAIN MEMORY; ORDINAL DATA; REFERENCE IMPLEMENTATION; SETS OF ORDINALS; USER PROFILE; VERY LARGE DATABASE; WEB MINING; WEB USER BEHAVIORS;

BEHAVIORAL RESEARCH; CLUSTERING ALGORITHMS; CONFORMAL MAPPING; FUZZY LOGIC; FUZZY SETS; HYBRID SYSTEMS; INFORMATION SYSTEMS; OPTIMIZATION; PROFITABILITY; SELF ORGANIZING MAPS; WORLD WIDE WEB;

CLUSTER ANALYSIS;

EID: 77956362451     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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