Maximal Association Rules: a New Tool for Mining for Keyword cooccurrences in Document Collections

Proceedings - 3rd International Conference on Knowledge Discovery and Data Mining, KDD 1997

Volumn , Issue , 1997, Pages 167-170

  Feldman, Ronen ^a   Aumann, Yonatan ^a   Amir, Amihood ^a   Zilberstein, Amir ^a   Kloesgen, Willi ^b  

^a BAR ILAN UNIVERSITY   (Israel)

^b FRAUNHOFER INSTITUTE FOR APPLIED INFORMATION TECHNOLOGY FIT   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE;

AMOUNT OF INFORMATION; CO-OCCURRENCE; DOCUMENT COLLECTION; KNOWLEDGE DISCOVERIES IN DATABASE; LABELINGS; LARGE AMOUNTS OF DATA; MAXIMAL ASSOCIATION RULES; MAXIMAL SETS; STRUCTURED DATABASE; UNSTRUCTURED DOCUMENTS;

ASSOCIATION RULES;

EID: 85121621903     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

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