메뉴 건너뛰기




Volumn 50, Issue 10, 2006, Pages 1474-1487

DSM-PLW: Single-pass mining of path traversal patterns over streaming Web click-sequences

Author keywords

Path traversal patterns; Single pass algorithm; Web click sequence streams

Indexed keywords

ALGORITHMS; COMPUTER NETWORKS; DATA PROCESSING; DATA RECORDING; DATA STORAGE EQUIPMENT; DATA STRUCTURES; PATTERN RECOGNITION;

EID: 33646358462     PISSN: 13891286     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.comnet.2005.10.018     Document Type: Article
Times cited : (24)

References (48)
  • 1
    • 85012236181 scopus 로고    scopus 로고
    • C.C. Aggarwal, J. Han, J. Wang, P.S. Yu, A framework for clustering evolving data streams, in: Proc. VLDB, 2003, pp. 81-92.
  • 2
    • 33646362802 scopus 로고    scopus 로고
    • R. Agrawal, R. Srikant, Fast algorithms for mining association rules, in: Proc. VLDB, 1994, pp. 487-499.
  • 3
    • 0032678623 scopus 로고    scopus 로고
    • N. Alon, P. Gibbons, Y. Matias, M. Szegedy, Tracking join and self-join sizes in limited storage, in: Proc. PODS, 1999, pp. 10-20.
  • 4
    • 0029719644 scopus 로고    scopus 로고
    • N. Alon, Y. Matias, M. Szegedy, The space complexity of approximating the frequency moments, in: Proc. STOC, 1996, pp. 20-29.
  • 5
    • 0036042175 scopus 로고    scopus 로고
    • B. Babcock, S. Babu, M. Datar, R. Motwani, J. Widom, Models and issues in data stream systems, in: Proc. PODS, 2002, pp. 1-16.
  • 6
    • 1142279464 scopus 로고    scopus 로고
    • B. Babcock, C. Olston, Distributed top-k monitoring, in: Proc. ACM SIGMOD, 2003, pp. 28-39.
  • 7
    • 0001986373 scopus 로고    scopus 로고
    • Continuous queries over data streams
    • Babu S., and Widom J. Continuous queries over data streams. SIGMOD Rec. 30 3 (2001) 109-120
    • (2001) SIGMOD Rec. , vol.30 , Issue.3 , pp. 109-120
    • Babu, S.1    Widom, J.2
  • 8
    • 33646379636 scopus 로고    scopus 로고
    • J. Borges, M. Levene, Data mining of user navigation patterns, in: Proc. WEBKDD, 1999, pp. 92-111.
  • 9
    • 77952414052 scopus 로고    scopus 로고
    • J.H. Chang, W.S. Lee, Finding recent frequent itemsets adaptively over online data streams, in: Proc. ACM SIGKDD, 2003, pp. 487-492.
  • 10
    • 84869158135 scopus 로고    scopus 로고
    • M. Charilar, K. Chen, M. Farach-Colton, Finding frequent items in data streams, in: Proc. ICALP, 2002, pp. 693-703.
  • 12
    • 33646383122 scopus 로고    scopus 로고
    • Y. Chen, G. Dong, J. Han, B.W. Wah, J. Wang, Multi-dimensional regression analysis of time-series data streams, in: Proc. VLDB, 2002, pp. 323-334.
  • 13
    • 0037342806 scopus 로고    scopus 로고
    • A popularity-based prediction model for web prefetching
    • Chen X., and Zhang X. A popularity-based prediction model for web prefetching. IEEE Comput. 36 3 (2003) 63-70
    • (2003) IEEE Comput. , vol.36 , Issue.3 , pp. 63-70
    • Chen, X.1    Zhang, X.2
  • 14
    • 84879079572 scopus 로고    scopus 로고
    • W. Cheung, O.R. Zaïane, Incremental mining of frequent patterns without candidate generation or support constraint, in: Proc. IDEAS, 2003, pp. 111-116.
  • 15
    • 0031385045 scopus 로고    scopus 로고
    • R. Cooley, B. Mobasher, J. Srivastava, Web mining: information and pattern discovery on the World Wide Web, in: Proc. ICTAI, 1997, pp. 558-567.
  • 16
    • 23944436942 scopus 로고    scopus 로고
    • What's hot and what's not: tracking most frequent items dynamically
    • Cormode G., and Muthukrishnan S. What's hot and what's not: tracking most frequent items dynamically. ACM Trans. Database Syst. 30 1 (2005) 249-278
    • (2005) ACM Trans. Database Syst. , vol.30 , Issue.1 , pp. 249-278
    • Cormode, G.1    Muthukrishnan, S.2
  • 17
    • 84968735289 scopus 로고    scopus 로고
    • M. Datar, A. Ginois, P. Indyk, R. Motwani, Maintaining stream statistics over sliding windows, in: Proc. SODA, 2002, pp. 635-644.
  • 18
    • 84938096676 scopus 로고    scopus 로고
    • E. Demaine, A. López-Ortiz, J.I. Munro, Frequent estimation of internet packet streams with limited space, in: Proc. ESA, 2002, pp. 348-360.
  • 19
    • 0034592938 scopus 로고    scopus 로고
    • P. Domingos, G. Hulten, Mining high-speed data streams, in: Proc. ACM SIGKDD, 2000, pp. 71-80.
  • 20
    • 33646362562 scopus 로고    scopus 로고
    • G. Dong, J. Han, L.V.S. Lakshmanan, J. Pei, H. Wang, P.S. Yu, Online mining of changes from data streams: research problems and preliminary results, in: Proc. ACM SIGMOD MPDS, 2003.
  • 21
    • 33646368420 scopus 로고    scopus 로고
    • G. Dong, J. Li, Efficient mining of emerging patterns: discovering trends and differences, in: Proc. ACM SIGKDD, 1999, pp. 43-52.
  • 22
    • 33646365103 scopus 로고    scopus 로고
    • M. Fang, N. Shivakumar, H. Garcia-Molina, R. Moteani, J.D. Ullman, Computing iceberg queries efficiently, in: Proc. VLDB, 1998, pp. 299-310.
  • 23
    • 0033309273 scopus 로고    scopus 로고
    • J. Feigenbaum, S. Kannan, M. Strauss, M. Viswanathan, An approximate L1-difference algorithm for massive data streams (extended abstract), in: Proc. IEEE FOCS, 1999, pp. 501-511.
  • 24
    • 0032688730 scopus 로고    scopus 로고
    • V. Ganti, J. Gehrke, R. Ramakrishnan, A framework for measuring changes in data characteristics, in: Proc. PODS, 1999, pp. 126-137.
  • 25
    • 4544289585 scopus 로고    scopus 로고
    • Mining data streams under block evolution
    • Ganti V., Gehrke J., and Ramakrishnan R. Mining data streams under block evolution. SIGKDD Explor. 3 2 (2002) 1-10
    • (2002) SIGKDD Explor. , vol.3 , Issue.2 , pp. 1-10
    • Ganti, V.1    Gehrke, J.2    Ramakrishnan, R.3
  • 26
    • 0032762085 scopus 로고    scopus 로고
    • P.B. Gibbons, Y. Matias, Synopsis data structures for massive data sets, in: Proc. SODA, 1999, pp. 909-910.
  • 27
    • 2442617843 scopus 로고    scopus 로고
    • Issues in data stream management
    • Golab L., and Ozsu M.T. Issues in data stream management. SIGMOD Rec. 32 2 (2003) 5-14
    • (2003) SIGMOD Rec. , vol.32 , Issue.2 , pp. 5-14
    • Golab, L.1    Ozsu, M.T.2
  • 28
    • 0034514004 scopus 로고    scopus 로고
    • S. Guha, N. Mishra, R. Motwani, L. O'Callaghan, Clustering data streams, in: Proc. FOCS, 2000, pp. 359-366.
  • 29
    • 2442449952 scopus 로고    scopus 로고
    • Mining frequent patterns without candidate generation: a frequent-pattern tree approach
    • Han J., Pei J., Yin Y., and Mao R. Mining frequent patterns without candidate generation: a frequent-pattern tree approach. Data Min. Knowl. Discovery 8 1 (2004) 53-87
    • (2004) Data Min. Knowl. Discovery , vol.8 , Issue.1 , pp. 53-87
    • Han, J.1    Pei, J.2    Yin, Y.3    Mao, R.4
  • 30
    • 0031169625 scopus 로고    scopus 로고
    • J.M. Hellerstein, P.J. Haas, H. Wang, Online aggregation, in: Proc. ACM SIGMOD, 1997, pp. 171-182.
  • 31
    • 33646347909 scopus 로고    scopus 로고
    • M.R. Henzinger, P. Raghavan, S. Rajagopalan, Computing data streams, Technical Report 1998-011, Digital Eqipment Corporation, Systems Research Center, May 1998.
  • 32
    • 0035789299 scopus 로고    scopus 로고
    • G. Hulten, L. Spencer, P. Domingos, Mining time-changing data streams, in: Proc. ACM SIGKDD, 2001, pp. 97-106.
  • 34
    • 57749200775 scopus 로고    scopus 로고
    • H.-F. Li, S.-Y. Lee, M.-K. Shan, On mining webclick streams for path traversal patterns, in: Proc. WWW, 2004, pp. 404-405.
  • 35
    • 12744252835 scopus 로고    scopus 로고
    • Fast discovery of sequential patterns through memory indexing and database partitioning
    • Lin M.-Y., and Lee S.-Y. Fast discovery of sequential patterns through memory indexing and database partitioning. J. Inform. Sci. Eng. (JISE) 21 1 (2005) 109-128
    • (2005) J. Inform. Sci. Eng. (JISE) , vol.21 , Issue.1 , pp. 109-128
    • Lin, M.-Y.1    Lee, S.-Y.2
  • 36
    • 84947593543 scopus 로고    scopus 로고
    • B. Liu, W. Hsu, H.-S. Han, Y. Xia, Mining changes for real-life applications, in: Proc. DaWaK, 2000, pp. 337-346.
  • 37
    • 0036203413 scopus 로고    scopus 로고
    • L. O'Callaghan, N. Mishra, A. Meyerson, S. Guha, R. Motwani, Streaming-data algorithms for high-quality clustering, in: Proc. ICDE, 2002, pp. 685-696.
  • 38
    • 33646341253 scopus 로고    scopus 로고
    • Decision trees for web log mining
    • Pabarskaite Z. Decision trees for web log mining. Intell. Data Anal. 7 2 (2003) 141-154
    • (2003) Intell. Data Anal. , vol.7 , Issue.2 , pp. 141-154
    • Pabarskaite, Z.1
  • 39
    • 77957967271 scopus 로고    scopus 로고
    • J. Pei, J. Han, B. Mortazavi-Asl, H. Zhu, Mining access patterns efficiently from Web logs, in: Proc. PAKDD, 2000, pp. 396-407.
  • 42
    • 0036033346 scopus 로고    scopus 로고
    • M.-K. Shan, H.-F. Li, Fast discovery of structure navigation patterns from web user traversals, in: Proc. SPIE DMKD, 2002, pp. 272-283.
  • 43
    • 33646349501 scopus 로고    scopus 로고
    • M. Spiliopoulou, L.C. Faulstich, K. Winkler, A data miner analyzing the navigational behaviour of web users, in: Proc. ACAI, 1999, pp. 588-589.
  • 44
    • 0002000090 scopus 로고    scopus 로고
    • Web usage mining: discovery and applications of usage patterns from web data
    • Srivastava J., Cooley R., Deshpande M., and Tan P.-N. Web usage mining: discovery and applications of usage patterns from web data. SIGKDD Explor. 1 2 (2000) 12-23
    • (2000) SIGKDD Explor. , vol.1 , Issue.2 , pp. 12-23
    • Srivastava, J.1    Cooley, R.2    Deshpande, M.3    Tan, P.-N.4
  • 45
    • 0348156930 scopus 로고    scopus 로고
    • Efficient data mining for web navigation patterns
    • Xing D., and Shen J. Efficient data mining for web navigation patterns. Information and Software Technology 46 1 (2004) 55-63
    • (2004) Information and Software Technology , vol.46 , Issue.1 , pp. 55-63
    • Xing, D.1    Shen, J.2
  • 46
    • 0035788918 scopus 로고    scopus 로고
    • Z. Zheng, R. Kohavi, L. Mason, Real world performance of association rule algorithms, in: Proc. ACM SIGKDD, 2001, pp. 401-406.
  • 47
    • 33646364358 scopus 로고    scopus 로고
    • Y. Zhu, D. Shasha, StatStream: statistical monitoring of thousands of data streams in real time, in: Proc. VLDB, 2002, pp. 358-369.
  • 48
    • 33646360611 scopus 로고    scopus 로고
    • http://www.ecn.purdue.edu/KDDCUP/.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.