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Volumn 5990 LNAI, Issue PART 1, 2010, Pages 131-139

Efficiently mining high average utility itemsets with a tree structure

Author keywords

average utility; downward closure; HAUP tree; HAUP growth; high average utility itemset; utility mining

Indexed keywords

AVERAGE UTILITY; DOWNWARD CLOSURE; HAUP TREE; HAUP-GROWTH; HIGH AVERAGE-UTILITY ITEMSET; UTILITY MINING;

EID: 77957003372     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-12145-6_14     Document Type: Conference Paper
Times cited : (65)

References (11)
  • 7
    • 34250863838 scopus 로고    scopus 로고
    • High-utility pattern mining: A method for discovery of high-utility item sets
    • Hu, J., Mojsilovic, A.: High-utility pattern mining: A method for discovery of high-utility item sets. Pattern Recognition 40(11), 3317-3324 (2007)
    • (2007) Pattern Recognition , vol.40 , Issue.11 , pp. 3317-3324
    • Hu, J.1    Mojsilovic, A.2
  • 8
    • 35048834898 scopus 로고    scopus 로고
    • An efficient approach for maintaining association rules based on adjusting FP-tree structures
    • Lee, Y., Li, J., Whang, K.-Y., Lee, D. (eds.)DASFAA 2004., Springer, Heidelberg
    • Koh, J.L., Shieh, S.F.: An efficient approach for maintaining association rules based on adjusting FP-tree structures. In: Lee, Y., Li, J., Whang, K.-Y., Lee, D. (eds.) DASFAA 2004. LNCS, vol.2973, pp. 417-424. Springer, Heidelberg (2004)
    • (2004) LNCS , vol.2973 , pp. 417-424
    • Koh, J.L.1    Shieh, S.F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.