Web usage mining by means of multidimensional sequence alignment methods

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

Volumn 2703, Issue , 2003, Pages 50-65

  Hay, Birgit ^a   Wets, Geert ^a   Vanhoof, Koen ^a  

^a HASSELT UNIVERSITY   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER PROGRAMMING; DATA PROCESSING; DATABASE SYSTEMS; DYNAMIC PROGRAMMING; HEURISTIC METHODS; INFORMATION TECHNOLOGY; MATHEMATICAL MODELS; OPTIMIZATION; SET THEORY; WORLD WIDE WEB; WEBSITES;

MULTIDIMENSIONAL SEQUENCE ALIGNMENT METHOD (MDSAM); WEB MINING; WEB STRUCTURE MINING; WEB USAGE MINING (WUM); INFORMATION TYPES; LARGE DATABASE; MULTIDIMENSIONAL SEQUENCE ALIGNMENT METHODS; NAVIGATION PATTERNS; OPTIMAL TRAJECTORIES; TIME SPENT; WEB USAGE MINING;

DATA MINING; ALIGNMENT;

EID: 23144457012     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-39663-5_4     Document Type: Conference Paper

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