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Volumn , Issue , 2005, Pages 205-216

HARMONY: Efficiently mining the best rules for classification

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL EFFICIENCY; DATA MINING; DATABASE SYSTEMS; EFFICIENCY; HEURISTIC METHODS;

EID: 33746701845     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1137/1.9781611972757.19     Document Type: Conference Paper
Times cited : (125)

References (31)
  • 2
    • 0027621699 scopus 로고    scopus 로고
    • Mining association rules between sets of items in large databases
    • R. Agrawal, T. Imielinski, A. Swami. Mining Association Rules between Sets of Items in Large Databases, SIGMOD'93.
    • SIGMOD'93
    • Agrawal, R.1    Imielinski, T.2    Swami, A.3
  • 3
    • 0002221136 scopus 로고    scopus 로고
    • Fast algorithms for mining association rules
    • R. Agrawal, R. Srikant. Fast Algorithms for Mining Association Rules, VLDB'94.
    • VLDB'94
    • Agrawal, R.1    Srikant, R.2
  • 5
    • 78149287585 scopus 로고    scopus 로고
    • Text document categorization by term association
    • M. Antonie, O. Zaiane. Text Document Categorization by Term Association, ICDM'02.
    • ICDM'02
    • Antonie, M.1    Zaiane, O.2
  • 6
    • 85088410587 scopus 로고    scopus 로고
    • Towards language independent automated learning of text categorization models
    • C. Apte, F. Damerau, S.M. Weiss. Towards Language Independent Automated Learning of Text Categorization Models, SIGIR'94.
    • SIGIR'94
    • Apte, C.1    Damerau, F.2    Weiss, S.M.3
  • 7
    • 0002998032 scopus 로고    scopus 로고
    • Brute-force mining of high-confidence classification rules
    • R.J. Bayardo. Brute-force Mining of High-confidence Classification rules, KDD'97.
    • KDD'97
    • Bayardo, R.J.1
  • 10
    • 84867926546 scopus 로고    scopus 로고
    • Department of Computer Science, University of Alberta
    • S. Bergsma. The Reuters-21578 (ModApte) dataset, Department of Computer Science, University of Alberta. Available at http://www.cs.ualberta.ca/~bergsma/ 650/.
    • The Reuters-21578 (ModApte) Dataset
    • Bergsma, S.1
  • 13
    • 0001330342 scopus 로고    scopus 로고
    • Fast effective rule induction
    • W. Cohen. Fast effective rule induction, ICML'95.
    • ICML'95
    • Cohen, W.1
  • 14
    • 63649158124 scopus 로고    scopus 로고
    • FARMER: Finding interesting rule groups in mi-croarray datasets
    • G. Cong, X. Xu, F. Pan, A. Tung, J. Yang. FARMER: Finding Interesting Rule Groups in Mi-croarray Datasets, SIGMOD'04.
    • SIGMOD'04
    • Cong, G.1    Xu, X.2    Pan, F.3    Tung, A.4    Yang, J.5
  • 15
    • 85087537397 scopus 로고    scopus 로고
    • Using conjunction of attribute values for classification
    • M. Deshpande, G. Karypis. Using Conjunction of Attribute Values for Classification, CIKM'02.
    • CIKM'02
    • Deshpande, M.1    Karypis, G.2
  • 16
    • 0002205930 scopus 로고    scopus 로고
    • Inductive learning algorithms and representations for text categorization
    • S. Dumais, J. Platt, D. Heckerman, M. Sahami. Inductive Learning Algorithms and Representations for Text Categorization, CIKM'98.
    • CIKM'98
    • Dumais, S.1    Platt, J.2    Heckerman, D.3    Sahami, M.4
  • 17
    • 84880095224 scopus 로고    scopus 로고
    • Constructing efficient decision trees by using optimized numeric association rules
    • T. Fukuda, Y. Morimoto, S. Motishita. Constructing Efficient Decision Trees by Using Optimized Numeric Association Rules, VLDB'96.
    • VLDB'96
    • Fukuda, T.1    Morimoto, Y.2    Motishita, S.3
  • 18
    • 85086525602 scopus 로고    scopus 로고
    • Efficient closed pattern mining in the presence of tough block constraints
    • to appear in
    • K. Gade, J. Wang, G. Karypis. Efficient Closed Pattern Mining in the Presence of Tough Block Constraints, to appear in KDD'04.
    • KDD'04
    • Gade, K.1    Wang, J.2    Karypis, G.3
  • 19
    • 19544365865 scopus 로고    scopus 로고
    • Efficiently using prefix-trees in mining frequent itemsets
    • G. Grahne, J. Zhu. Efficiently Using Prefix-trees in Mining Frequent Itemsets, ICDM-FIMI'03.
    • ICDM-FIMI'03
    • Grahne, G.1    Zhu, J.2
  • 20
    • 0039253846 scopus 로고    scopus 로고
    • Mining frequent patterns without candidate generation
    • J. Han, J. Pei, Y. Yin. Mining Frequent Patterns without Candidate Generation, SIGMOD'00.
    • SIGMOD'00
    • Han, J.1    Pei, J.2    Yin, Y.3
  • 21
    • 0000636553 scopus 로고    scopus 로고
    • Text categorization with support vector machines: Learning with many relevant features
    • T. Joachims. Text Categorization with Support Vector Machines: Learning with Many Relevant Features, ECML'98.
    • ECML'98
    • Joachims, T.1
  • 23
    • 2442450140 scopus 로고    scopus 로고
    • Mining features for sequence classification
    • N. Lesh, M. Zaki, M. Ogihara. Mining Features for Sequence Classification, KDD'99.
    • KDD'99
    • Lesh, N.1    Zaki, M.2    Ogihara, M.3
  • 24
    • 78149313084 scopus 로고    scopus 로고
    • CMAR: Accurate and efficient classification based on multiple class-association rules
    • W. Li, J. Han, J. Pei. CMAR: Accurate and Efficient Classification based on multiple class-association rules, ICDM'01.
    • ICDM'01
    • Li, W.1    Han, J.2    Pei, J.3
  • 25
    • 0002776254 scopus 로고    scopus 로고
    • Integrating classification and association rule mining
    • B. Liu, W. Hsu, Y. Ma. Integrating Classification and Association Rule Mining, KDD'98.
    • KDD'98
    • Liu, B.1    Hsu, W.2    Ma, Y.3
  • 28
    • 26944487371 scopus 로고    scopus 로고
    • BAMBOO: Accelerating closed itemset mining by deeply pushing the length-decreasing support constraint
    • J. Wang, G. Karypis. BAMBOO: Accelerating Closed Itemset Mining by Deeply Pushing the Length-Decreasing Support Constraint, SDM'04.
    • SDM'04
    • Wang, J.1    Karypis, G.2
  • 29
    • 27144441097 scopus 로고    scopus 로고
    • An evaluation of statistical approaches to text categorization
    • Y. Yang. An Evaluation of Statistical Approaches to Text Categorization, Information Retrieval, Vol. 1, No. 1-2, 1999.
    • (1999) Information Retrieval , vol.1 , Issue.1-2
    • Yang, Y.1
  • 30
    • 19544366904 scopus 로고    scopus 로고
    • CPAR: Classification based on predictive association rules
    • X. Yin, J. Han. CPAR: Classification based on Predictive Association Rules, SDM'03.
    • SDM'03
    • Yin, X.1    Han, J.2
  • 31
    • 84880115845 scopus 로고    scopus 로고
    • XRULES: An effective structural classifier for XML data
    • M. Zaki, C. Aggarwal. XRULES: An Effective Structural Classifier for XML Data, KDD'03.
    • KDD'03
    • Zaki, M.1    Aggarwal, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.