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Volumn 194, Issue , 2012, Pages 68-84

Generalized association rule mining with constraints

Author keywords

Context aware mining; Data mining algorithms; Generalized association rules; Knowledge discovery; Mining with constraints; Network traffic analysis

Indexed keywords

ABSTRACTION LEVEL; APPLICATION DOMAINS; DATA MINING ALGORITHMS; DECISION MAKING PROCESS; GENERALIZATION PROCESS; GENERALIZED ASSOCIATION RULE MINING; GENERALIZED ASSOCIATION RULES; GRANULARITY LEVELS; ITEMSET; ITEMSET MINING; LEVEL OF ABSTRACTION; NETWORK TRAFFIC ANALYSIS; POST PROCESSING; REAL DATA SETS; REDUNDANT RULES; RULE GENERATION; RULE SET; SCHEMA CONSTRAINTS; SUPPORT AND CONFIDENCE;

EID: 84859160294     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2011.05.016     Document Type: Article
Times cited : (64)

References (27)
  • 2
    • 0001882616 scopus 로고
    • Fast algorithms for mining association rules in large databases
    • J.B. Bocca, M. Jarke, C. Zaniolo, Morgan Kaufmann San Francisco, CA
    • R. Agrawal, and R. Srikant Fast algorithms for mining association rules in large databases J.B. Bocca, M. Jarke, C. Zaniolo, International Conference on Very Large Data Bases 1994 Morgan Kaufmann San Francisco, CA 487 499
    • (1994) International Conference on Very Large Data Bases , pp. 487-499
    • Agrawal, R.1    Srikant, R.2
  • 3
    • 0002880407 scopus 로고
    • Mining generalized association rules
    • U. Dayal, P.M.D. Gray, S. Nishio, Morgan Kaufmann San Francisco, CA
    • R. Agrawal, and R. Srikant Mining generalized association rules U. Dayal, P.M.D. Gray, S. Nishio, International Conference on Very Large Data Bases 1995 Morgan Kaufmann San Francisco, CA 407 419
    • (1995) International Conference on Very Large Data Bases , pp. 407-419
    • Agrawal, R.1    Srikant, R.2
  • 4
    • 61749086468 scopus 로고    scopus 로고
    • Characterizing network traffic by means of the netmine framework
    • D. Apiletti, E. Baralis, T. Cerquitelli, and V. D'Elia Characterizing network traffic by means of the netmine framework Computer Networks 53 2009 774 789
    • (2009) Computer Networks , vol.53 , pp. 774-789
    • Apiletti, D.1    Baralis, E.2    Cerquitelli, T.3    D'Elia, V.4
  • 5
    • 26944437955 scopus 로고    scopus 로고
    • Mining and filtering multi-level spatial association rules with ares
    • M.S. Hacid, N.V. Murray, Z.W. Ras, S. Tsumoto, Springer Berlin/Heidelberg, Germany
    • A. Appice, M. Berardi, M. Ceci, and D. Malerba Mining and filtering multi-level spatial association rules with ares M.S. Hacid, N.V. Murray, Z.W. Ras, S. Tsumoto, Foundations of Intelligent Systems, 15th International Symposium 2005 Springer Berlin/Heidelberg, Germany 342 353
    • (2005) Foundations of Intelligent Systems, 15th International Symposium , pp. 342-353
    • Appice, A.1    Berardi, M.2    Ceci, M.3    Malerba, D.4
  • 6
    • 67849118591 scopus 로고    scopus 로고
    • An algorithm to mine general association rules from tabular data
    • S. Ayubi, M.K. Muyeba, A. Baraani, and J. Keane An algorithm to mine general association rules from tabular data Information Sciences 179 2009 3520 3539
    • (2009) Information Sciences , vol.179 , pp. 3520-3539
    • Ayubi, S.1    Muyeba, M.K.2    Baraani, A.3    Keane, J.4
  • 10
    • 38349081558 scopus 로고    scopus 로고
    • Efficient strategies for tough aggregate constraint-based sequential pattern mining
    • E. Chen, H. Cao, Q. Li, and T. Qian Efficient strategies for tough aggregate constraint-based sequential pattern mining Information Sciences 178 2008 1498 1518
    • (2008) Information Sciences , vol.178 , pp. 1498-1518
    • Chen, E.1    Cao, H.2    Li, Q.3    Qian, T.4
  • 11
    • 78449287890 scopus 로고    scopus 로고
    • Discovering multi-label temporal patterns in sequence databases
    • Y.L. Chen, S.Y. Wu, and Y.C. Wang Discovering multi-label temporal patterns in sequence databases Information Sciences 181 2011 398 418
    • (2011) Information Sciences , vol.181 , pp. 398-418
    • Chen, Y.L.1    Wu, S.Y.2    Wang, Y.C.3
  • 12
    • 0002401815 scopus 로고
    • Discovery of multiple-level association rules from large databases
    • U. Dayal, P.M.D. Gray, S. Nishio, Morgan Kaufmann San Francisco, CA
    • J. Han, and Y. Fu Discovery of multiple-level association rules from large databases U. Dayal, P.M.D. Gray, S. Nishio, Proceedings of 21th International Conference on Very Large Data Bases 1995 Morgan Kaufmann San Francisco, CA 420 431
    • (1995) Proceedings of 21th International Conference on Very Large Data Bases , pp. 420-431
    • Han, J.1    Fu, Y.2
  • 13
    • 0033311838 scopus 로고    scopus 로고
    • Mining multiple-level association rules in large databases
    • DOI 10.1109/69.806937
    • J. Han, and Y. Fu Mining multiple-level association rules in large databases IEEE Transactions on Knowledge and Data Engineering 11 1999 798 805 (Pubitemid 30518734)
    • (1999) IEEE Transactions on Knowledge and Data Engineering , vol.11 , Issue.5 , pp. 798-805
    • Han, J.1    Fu, Y.2
  • 14
    • 33749395907 scopus 로고    scopus 로고
    • A New Algorithm for Faster Mining of Generalized Association Rules
    • Principles of Data Mining and Knowledge Discovery
    • J. Hipp, A. Myka, R. Wirth, and U. Güntzer A new algorithm for faster mining of generalized association rules J.M. Zytkow, M. Quafafou, Proceedings of the 2nd European Symposium on Principles of Data Mining and Knowledge Discovery 1998 Springer-Verlag London, UK 74 82 (Pubitemid 128145823)
    • (1998) Lecture Notes in Computer Science , Issue.1510 , pp. 74-82
    • Hipp, J.1    Myka, A.2    Wirth, R.3    Guentzer, U.4
  • 16
    • 58249110789 scopus 로고    scopus 로고
    • Top-down mining of frequent closed patterns from very high dimensional data
    • H. Liu, X. Wang, J. He, J. Han, D. Xin, and Z. Shao Top-down mining of frequent closed patterns from very high dimensional data Information Sciences 179 2009 899 924
    • (2009) Information Sciences , vol.179 , pp. 899-924
    • Liu, H.1    Wang, X.2    He, J.3    Han, J.4    Xin, D.5    Shao, Z.6
  • 17
    • 78449271035 scopus 로고    scopus 로고
    • Using ontologies to facilitate post-processing of association rules by domain experts
    • G. Mansingh, K.M. Osei-Bryson, and H. Reichgelt Using ontologies to facilitate post-processing of association rules by domain experts Information Sciences 181 2011 419 434
    • (2011) Information Sciences , vol.181 , pp. 419-434
    • Mansingh, G.1    Osei-Bryson, K.M.2    Reichgelt, H.3
  • 18
    • 84859161289 scopus 로고    scopus 로고
    • NetGroup, Analyzer 3.0
    • NetGroup, Analyzer 3.0, 2009. .
    • (2009)
  • 19
    • 77950298520 scopus 로고    scopus 로고
    • Anomaly intrusion detection by clustering transactional audit streams in a host computer
    • N.H. Park, S.H. Oh, and W.S. Lee Anomaly intrusion detection by clustering transactional audit streams in a host computer Information Sciences 180 2010 2375 2389
    • (2010) Information Sciences , vol.180 , pp. 2375-2389
    • Park, N.H.1    Oh, S.H.2    Lee, W.S.3
  • 20
    • 44949222714 scopus 로고    scopus 로고
    • A hybrid artificial immune system and self organising map for network intrusion detection
    • S.T. Powers, and J. He A hybrid artificial immune system and self organising map for network intrusion detection Information Sciences 178 2008 3024 3042
    • (2008) Information Sciences , vol.178 , pp. 3024-3042
    • Powers, S.T.1    He, J.2
  • 22
    • 84859156368 scopus 로고    scopus 로고
    • Python, Python website
    • Python, Python website, 2009. .
    • (2009)
  • 24
    • 33749413116 scopus 로고    scopus 로고
    • A new method for finding generalized frequent itemsets in generalized association rule mining
    • A. Corradi, M. Daneshmand, IEEE Computer Society Washington, DC
    • K. Sriphaew, and T. Theeramunkong A new method for finding generalized frequent itemsets in generalized association rule mining A. Corradi, M. Daneshmand, Proceedings of the Seventh IEEE Symposium on Computers and Communications 2002 IEEE Computer Society Washington, DC 1040 1045
    • (2002) Proceedings of the Seventh IEEE Symposium on Computers and Communications , pp. 1040-1045
    • Sriphaew, K.1    Theeramunkong, T.2
  • 26
    • 40849118053 scopus 로고    scopus 로고
    • Discovering significant patterns
    • G.I. Webb Discovering significant patterns Machine Learning 71 2008 131
    • (2008) Machine Learning , vol.71 , pp. 131
    • Webb, G.I.1
  • 27
    • 84859160922 scopus 로고    scopus 로고
    • XQuery, Xquery w3c website
    • XQuery, Xquery w3c website, 2009. .
    • (2009)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.