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Volumn 1, Issue , 2009, Pages 173-177

DHUI: A new algorithm for mining high utility itemsets

Author keywords

Data mining; High utility mining; Pattern growth

Indexed keywords

CANDIDATE GENERATION; HIGH UTILITY MINING; ITEM SETS; PATTERN GROWTH; SET GENERATION; SUPPORT VALUE; TREE STRUCTURES;

EID: 70350738798     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2009.5212570     Document Type: Conference Paper
Times cited : (3)

References (10)
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  • 4
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    • Y.-C. et al. Chang, A fast algorithm for mining share-frequent itemsets, in: Y. Zhang, K. Tanaka, J.X. Yu, S. Wang,M. Li (Eds.), 7th Asia-Pacific Web Conference on Web Technologies Research and Development(APWeb 2005), Lecture Notes in Computer Science, vol. 3399, Springer-Verlag, Berlin, 2005, pp. 417-428.
  • 5
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  • 6
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    • Y.-C. et al,. Chang, Direct candidates generation: a novel algorithm for discovering complete share-frequent itemsets, 2nd Intl. Conf. On Fuzzy Systems and knowledge Discovery (FSKD 2005), lecture Notes in Artificial Intelligence, 3614, Springer-Verlag, Berlin, 2005, pp. 551-560.
    • Y.-C. et al,. Chang, Direct candidates generation: a novel algorithm for discovering complete share-frequent itemsets, 2nd Intl. Conf. On Fuzzy Systems and knowledge Discovery (FSKD 2005), lecture Notes in Artificial Intelligence, vol. 3614, Springer-Verlag, Berlin, 2005, pp. 551-560.
  • 7
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    • Y. Liu et al., A two-phase algorithm for fast discovery of high utility itemsets, in: T.B. Ho, D. Cheung, H. Liu(Eds.), 9th Pacific-Asia Conf. on Advances in Knowledge Discovery and Data Mining (PAKDD 2005), Lecture Notes in ComputerScience, vol. 3518, Springer-Verlag, Berlin, 2005, pp. 689-695.
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  • 8
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  • 9
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    • JIAWEI, H.A.N.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.