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Volumn , Issue , 2012, Pages 264-275

Top-k interesting phrase mining in ad-hoc collections using sequence pattern indexing

Author keywords

Algorithms; Experimentation; H.2.8 Database Management : Database Applications; Performance

Indexed keywords

ARBITRARY SUBSETS; DATA MINING COMMUNITY; DATABASE APPLICATIONS; DOCUMENT COLLECTION; EARLY TERMINATION; EXPERIMENTAL EVALUATION; EXPERIMENTATION; GLOBAL SET; INDEX SPACE; INDEXING TECHNIQUES; MINING ALGORITHMS; MINING TASKS; PERFORMANCE; REAL WORLD DATA; REDUNDANCY ELIMINATION; RUNTIME PERFORMANCE; RUNTIMES; SEARCH SPACE PRUNING; SEQUENCE PATTERNS; TEXT CORPORA;

EID: 84863515619     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2247596.2247628     Document Type: Conference Paper
Times cited : (7)

References (21)
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    • Simitsis, A.1    Baid, A.2    Sismanis, Y.3    Reinwald, B.4
  • 20
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    • On mining instance-centric classification rules
    • J. Wang and G. Karypis. On mining instance-centric classification rules. IEEE Trans. Knowl. Data Eng., 18(11):1497-1511, 2006.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.