메뉴 건너뛰기




Volumn 37, Issue , 2014, Pages 117-126

Mining constrained frequent itemsets from distributed uncertain data

Author keywords

Advanced data intensive computing algorithms; Constraints; Data mining; Distributed computing; Frequent pattern mining

Indexed keywords

ALGORITHMS; DISTRIBUTED COMPUTER SYSTEMS; UNCERTAINTY ANALYSIS; WIRELESS SENSOR NETWORKS;

EID: 84901635064     PISSN: 0167739X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.future.2013.10.026     Document Type: Article
Times cited : (82)

References (38)
  • 1
    • 84880001890 scopus 로고    scopus 로고
    • Mining frequent itemsets from sparse data streams in limited memory environments
    • Springer
    • J.J. Cameron, A. Cuzzocrea, F. Jiang, C.K.-S. Leung, Mining frequent itemsets from sparse data streams in limited memory environments, in: Proceedings of the WAIM 2013, Springer, pp. 51-57.
    • (2013) Proceedings of the WAIM , pp. 51-57
    • Cameron, J.J.1    Cuzzocrea, A.2    Jiang, F.3    Leung, C.K.-S.4
  • 2
    • 84886948110 scopus 로고    scopus 로고
    • ProFID: Practical frequent items discovery in peer-to-peer networks
    • E. Çem, and Ö. Özkasap ProFID: practical frequent items discovery in peer-to-peer networks Future Gener. Comput. Syst. 29 6 2013 1544 1560
    • (2013) Future Gener. Comput. Syst. , vol.29 , Issue.6 , pp. 1544-1560
    • Çem, E.1    Özkasap, O.2
  • 4
    • 0027621699 scopus 로고
    • Mining association rules between sets of items in large databases
    • R. Agrawal, T. Imieliński, A. Swami, Mining association rules between sets of items in large databases, in: Proceedings of the ACM SIGMOD 1993, pp. 207-216.
    • (1993) Proceedings of the ACM SIGMOD , pp. 207-216
    • Agrawal, R.1
  • 5
    • 0001882616 scopus 로고    scopus 로고
    • Fast algorithms for mining association rules
    • Morgan Kaufmann
    • R. Agrawal, R. Srikant, Fast algorithms for mining association rules, in: Proceedings of the VLDB 1994, Morgan Kaufmann, pp. 487-499.
    • Proceedings of the VLDB 1994 , pp. 487-499
    • Agrawal, R.1    Srikant, R.2
  • 6
    • 2442449952 scopus 로고    scopus 로고
    • Mining frequent patterns without candidate generation: A frequent-pattern tree approach
    • DOI 10.1023/B:DAMI.0000005258.31418.83
    • J. Han, J. Pei, Y. Yin, and R. Mao Mining frequent patterns without candidate generation: a frequent-pattern tree approach Data Min. Knowl. Discov. 8 1 2004 53 87 (Pubitemid 39019971)
    • (2004) Data Mining and Knowledge Discovery , vol.8 , Issue.1 , pp. 53-87
    • Han, J.1    Pei, J.2    Yin, Y.3    Mao, R.4
  • 7
    • 84867850731 scopus 로고    scopus 로고
    • The retrieval of motion event by associations of temporal frequent pattern growth
    • J. Ke, Y. Zhan, X. Chen, and M. Wang The retrieval of motion event by associations of temporal frequent pattern growth Future Gener. Comput. Syst. 29 1 2013 442 450
    • (2013) Future Gener. Comput. Syst. , vol.29 , Issue.1 , pp. 442-450
    • Ke, J.1    Zhan, Y.2    Chen, X.3    Wang, M.4
  • 8
    • 84893540013 scopus 로고    scopus 로고
    • PUF-tree: A compact tree structure for frequent pattern mining of uncertain data
    • Springer
    • C.K.-S. Leung, S.K. Tanbeer, PUF-tree: a compact tree structure for frequent pattern mining of uncertain data, in: Proceedings of the PAKDD 2013, Part I, Springer, pp. 13-25.
    • Proceedings of the PAKDD 2013 , pp. 13-25
    • Leung, C.K.-S.1    Tanbeer, S.K.2
  • 9
    • 84884393218 scopus 로고    scopus 로고
    • Approximate OLAP query processing over uncertain and imprecise multidimensional data streams
    • Springer
    • A. Cuzzocrea, Approximate OLAP query processing over uncertain and imprecise multidimensional data streams, in: Proceedings of the DEXA 2013, Part II, Springer, pp. 156-173.
    • Proceedings of the DEXA 2013 , pp. 156-173
    • Cuzzocrea, A.1
  • 10
    • 79961179096 scopus 로고    scopus 로고
    • Retrieving accurate estimates to OLAP queries over uncertain and imprecise multidimensional data streams
    • Springer
    • A. Cuzzocrea, Retrieving accurate estimates to OLAP queries over uncertain and imprecise multidimensional data streams, in: Proceedings of the SSDBM 2011, Springer, pp. 575-576.
    • Proceedings of the SSDBM 2011 , pp. 575-576
    • Cuzzocrea, A.1
  • 11
    • 67649641426 scopus 로고    scopus 로고
    • Mining of frequent itemsets from streams of uncertain data
    • C.K.-S. Leung, B. Hao, Mining of frequent itemsets from streams of uncertain data, in: Proceedings of the IEEE ICDE 2009, pp. 1663-1670.
    • (2009) Proceedings of the IEEE ICDE , pp. 1663-1670
    • Leung, C.K.-S.1    Hao, B.2
  • 12
    • 77956195015 scopus 로고    scopus 로고
    • DUST: A generalized notion of similarity between uncertain time series
    • S.R. Sarangi, K. Murthy, DUST: a generalized notion of similarity between uncertain time series, in: Proceedings of the ACM KDD 2010, pp. 383-392.
    • (2010) Proceedings of the ACM KDD , pp. 383-392
    • Sarangi, S.R.1    Murthy, K.2
  • 14
    • 84884495381 scopus 로고    scopus 로고
    • Stream mining of frequent patterns from delayed batches of uncertain data
    • Springer
    • F. Jiang, C.K.-S. Leung, Stream mining of frequent patterns from delayed batches of uncertain data, in: Proceedings of the DaWaK 2013, Springer, pp. 209-221.
    • (2013) Proceedings of the DaWaK , pp. 209-221
    • Jiang, F.1    Leung, C.K.-S.2
  • 16
    • 38049177468 scopus 로고    scopus 로고
    • Mining frequent itemsets from uncertain data
    • Springer
    • C.-K. Chui, B. Kao, E. Hung, Mining frequent itemsets from uncertain data, in: Proceedings of the PAKDD 2007, Springer, pp. 47-58.
    • (2007) Proceedings of the PAKDD , pp. 47-58
    • Chui, C.-K.1    Kao, B.2    Hung, E.3
  • 19
    • 67649659407 scopus 로고    scopus 로고
    • Frequent itemset mining with constraints
    • L. Liu, M.T. Özsu, Springer
    • C.K.-S. Leung Frequent itemset mining with constraints L. Liu, M.T. Özsu, Encyclopedia of Database Systems 2009 Springer 1179 1183
    • (2009) Encyclopedia of Database Systems , pp. 1179-1183
    • Leung, C.K.-S.1
  • 20
    • 0032092760 scopus 로고    scopus 로고
    • Exploratory mining and pruning optimizations of constrained associations rules
    • R.T. Ng, L.V.S. Lakshmanan, J. Han, A. Pang, Exploratory mining and pruning optimizations of constrained associations rules, in: Proceedings of the ACM SIGMOD 1998, pp. 13-24. (Pubitemid 128655953)
    • (1998) SIGMOD Record , vol.27 , Issue.2 , pp. 13-24
    • Ng, R.T.1    Lakshmanan, L.V.S.2    Pang, A.3    Han, J.4
  • 22
    • 3543095068 scopus 로고    scopus 로고
    • Pushing convertible constraints in frequent itemset mining
    • DOI 10.1023/B:DAMI.0000023674.74932.4c
    • J. Pei, J. Han, and L.V.S. Lakshmanan Pushing convertible constraints in frequent itemset mining Data Min. Knowl. Discov. 8 3 2004 227 252 (Pubitemid 39019962)
    • (2004) Data Mining and Knowledge Discovery , vol.8 , Issue.3 , pp. 227-252
    • Pei, J.1    Han, J.2    Lakshmanan, L.V.S.3
  • 23
    • 70349084449 scopus 로고    scopus 로고
    • LCS-Hist: Taming massive high-dimensional data cube compression
    • ACM Press
    • A. Cuzzocrea, P. Serafino, LCS-Hist: taming massive high-dimensional data cube compression, in: Proceedings of the EDBT 2009, ACM Press, pp. 768-779.
    • (2009) Proceedings of the EDBT , pp. 768-779
    • Cuzzocrea, A.1    Serafino, P.2
  • 24
    • 84880032146 scopus 로고    scopus 로고
    • Mining frequent patterns from uncertain data with MapReduce for big data analytics
    • Springer
    • C.K.-S. Leung, Y. Hayduk, Mining frequent patterns from uncertain data with MapReduce for big data analytics, in: Proceedings of the DASFAA 2013, Part I, Springer, pp. 440-455.
    • (2013) Proceedings of the DASFAA , pp. 440-455
    • Leung, C.K.-S.1    Hayduk, Y.2
  • 25
    • 33748320840 scopus 로고    scopus 로고
    • Storing and retrieving XPath fragments in structured P2P networks
    • DOI 10.1016/j.datak.2006.01.011, PII S0169023X06000292, Sixth ACM International Workshop on WEb Information and Data Management
    • A. Bonifati, and A. Cuzzocrea Storing and retrieving XPath fragments in structured P2P networks Data Knowl. Eng. 59 2 2006 247 269 (Pubitemid 44321996)
    • (2006) Data and Knowledge Engineering , vol.59 , Issue.2 , pp. 247-269
    • Bonifati, A.1    Cuzzocrea, A.2
  • 26
    • 79953209674 scopus 로고    scopus 로고
    • Mining massive datasets by an unsupervised parallel clustering on a GRID: Novel algorithms and case study
    • A. Faro, D. Giordano, and F. Maiorana Mining massive datasets by an unsupervised parallel clustering on a GRID: novel algorithms and case study Future Gener. Comput. Syst. 27 1 2011 711 724
    • (2011) Future Gener. Comput. Syst. , vol.27 , Issue.1 , pp. 711-724
    • Faro, A.1    Giordano, D.2    Maiorana, F.3
  • 29
    • 23844545242 scopus 로고    scopus 로고
    • A high-performance distributed algorithm for mining association rules
    • DOI 10.1007/s10115-004-0176-3
    • A. Schuster, R. Wolff, and D. Trock A high-performance distributed algorithm for mining association rules Knowl. Inf. Syst. 7 4 2005 458 475 (Pubitemid 41166795)
    • (2005) Knowledge and Information Systems , vol.7 , Issue.4 , pp. 458-475
    • Schuster, A.1    Wolff, R.2    Trock, D.3
  • 30
    • 0033354342 scopus 로고    scopus 로고
    • Parallel and distributed association mining: A survey
    • M.J. Zaki Parallel and distributed association mining: a survey IEEE Concurr. 7 4 1999 14 25
    • (1999) IEEE Concurr. , vol.7 , Issue.4 , pp. 14-25
    • Zaki, M.J.1
  • 33
    • 34047199045 scopus 로고    scopus 로고
    • Parallel leap: Large-scale maximal pattern mining in a distributed environment
    • M. El-Hajj, O.R. Zaïane, Parallel leap: large-scale maximal pattern mining in a distributed environment, in: Proceedings of the ICPADS 2006, IEEE Computer Society, pp. 135-142.
    • Proceedings of the ICPADS 2006, IEEE Computer Society , pp. 135-142
    • El-Hajj, M.1
  • 34
    • 84871047394 scopus 로고    scopus 로고
    • GPU acceleration of probabilistic frequent itemset mining from uncertain databases
    • Y. Kozawa, T. Amagasa, H. Kitagawa, GPU acceleration of probabilistic frequent itemset mining from uncertain databases, in: Proceedings of the ACM CIKM 2012, pp. 892-901.
    • (2012) Proceedings of the ACM CIKM , pp. 892-901
    • Kozawa, Y.1    Amagasa, T.2    Kitagawa, H.3
  • 35
    • 80455140344 scopus 로고    scopus 로고
    • Distributed mining of constrained frequent sets from uncertain data
    • Springer
    • A. Cuzzocrea, C.K.-S. Leung, Distributed mining of constrained frequent sets from uncertain data, in: Proceedings of the ICA3PP 2011, Part I, Springer, pp. 40-53.
    • (2011) Proceedings of the ICA3PP , pp. 40-53
    • Cuzzocrea, A.1    Leung, C.K.-S.2
  • 36
    • 84873604604 scopus 로고    scopus 로고
    • Frequent itemset mining of distributed uncertain data under user-defined constraints
    • A. Cuzzocrea, C.K.-S. Leung, Frequent itemset mining of distributed uncertain data under user-defined constraints, in: Proceedings of the SEBD 2012, pp. 243-250.
    • (2012) Proceedings of the SEBD , pp. 243-250
    • Cuzzocrea, A.1    Leung, C.K.-S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.