메뉴 건너뛰기




Volumn , Issue , 2004, Pages 79-88

Fully automatic cross-associations

Author keywords

Cross Association; Information Theory; MDL

Indexed keywords

APPROXIMATION THEORY; DATA ACQUISITION; INFORMATION THEORY; MATRIX ALGEBRA; PRINCIPAL COMPONENT ANALYSIS; PROBABILITY DISTRIBUTIONS; WORLD WIDE WEB;

EID: 12244296737     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1014052.1014064     Document Type: Conference Paper
Times cited : (205)

References (32)
  • 1
    • 0001820920 scopus 로고    scopus 로고
    • X-means: Extending K-means with efficient estimation of the number of clusters
    • D. Pelleg and A. Moore, "X-means: Extending K-means with efficient estimation of the number of clusters," in Proc. 17th ICML, pp. 727-734, 2000.
    • (2000) Proc. 17th ICML , pp. 727-734
    • Pelleg, D.1    Moore, A.2
  • 3
    • 84945263084 scopus 로고    scopus 로고
    • K-harmonic means - A spatial clustering algorithm with boosting
    • B. Zhang, M. Hsu, and U. Dayal, "K-harmonic means - a spatial clustering algorithm with boosting," in Proc. 1st TSDM, pp. 31-45, 2000.
    • (2000) Proc. 1st TSDM , pp. 31-45
    • Zhang, B.1    Hsu, M.2    Dayal, U.3
  • 4
    • 0034824884 scopus 로고    scopus 로고
    • Concept decompositions for large sparse text data using clustering
    • I. S. Dhillon and D. S. Modha, "Concept decompositions for large sparse text data using clustering," Mach. Learning, vol. 42, pp. 143-175, 2001.
    • (2001) Mach. Learning , vol.42 , pp. 143-175
    • Dhillon, I.S.1    Modha, D.S.2
  • 5
    • 0032091595 scopus 로고    scopus 로고
    • CURE: An efficient clustering algorithm for large databases
    • S. Guha, R. Rastogi, and K. Shim, "CURE: an efficient clustering algorithm for large databases," in Proc. SIGMOD, pp. 73-84, 1998.
    • (1998) Proc. SIGMOD , pp. 73-84
    • Guha, S.1    Rastogi, R.2    Shim, K.3
  • 6
    • 0030157145 scopus 로고    scopus 로고
    • BIRCH: An efficient data clustering method for very large databases
    • T. Zhang, R. Ramakrishnan, and M. Livny, "BIRCH: An efficient data clustering method for very large databases," in Proc. SIGMOD, pp. 103-114, 1996.
    • (1996) Proc. SIGMOD , pp. 103-114
    • Zhang, T.1    Ramakrishnan, R.2    Livny, M.3
  • 7
    • 0032686723 scopus 로고    scopus 로고
    • Chameleon: Hierarchical clustering using dynamic modeling
    • G. Karypis, E.-H. Han, and V. Kumar, "Chameleon: Hierarchical clustering using dynamic modeling," IEEE Computer, vol. 32, no. 8, pp. 68-75, 1999.
    • (1999) IEEE Computer , vol.32 , Issue.8 , pp. 68-75
    • Karypis, G.1    Han, E.-H.2    Kumar, V.3
  • 8
    • 85140527321 scopus 로고    scopus 로고
    • An efficient approach to clustering in large multimedia databases with noise
    • A. Hinneburg and D. A. Keim, "An efficient approach to clustering in large multimedia databases with noise," in Proc. 4th KDD, pp. 58-65, 1998.
    • (1998) Proc. 4th KDD , pp. 58-65
    • Hinneburg, A.1    Keim, D.A.2
  • 11
    • 84885559330 scopus 로고    scopus 로고
    • A minimum description length proposal for lossy data compression
    • M. M. Madiman, M. Harrison, and I. Kontoyiannis, "A minimum description length proposal for lossy data compression," in Proc. IEEE ISIT, 2004.
    • (2004) Proc. IEEE ISIT
    • Madiman, M.M.1    Harrison, M.2    Kontoyiannis, I.3
  • 13
    • 0001882616 scopus 로고
    • Fast algorithms for mining association rules in large databases
    • R. Agrawal and R. Srikant, "Fast algorithms for mining association rules in large databases," in Proc. 20th VLDB, pp. 487-499, 1994.
    • (1994) Proc. 20th VLDB , pp. 487-499
    • Agrawal, R.1    Srikant, R.2
  • 14
    • 2442449952 scopus 로고    scopus 로고
    • Mining frequent patterns without candidate generation: A frequent-pattern tree approach
    • J. Han, J. Pel, Y. Yin, and R. Mao, "Mining frequent patterns without candidate generation: A frequent-pattern tree approach," Data Min. Knowl. Discov., vol. 8, no. 1, pp. 53-87, 2004.
    • (2004) Data Min. Knowl. Discov. , vol.8 , Issue.1 , pp. 53-87
    • Han, J.1    Pel, J.2    Yin, Y.3    Mao, R.4
  • 15
    • 0242456800 scopus 로고    scopus 로고
    • Handling very large numbers of association rules in the analysis of microarray data
    • A. Tuzhilin and G. Adomavicius, "Handling very large numbers of association rules in the analysis of microarray data," in Proc. 8th KDD, 2002.
    • (2002) Proc. 8th KDD
    • Tuzhilin, A.1    Adomavicius, G.2
  • 17
    • 0032183760 scopus 로고    scopus 로고
    • A semidiscrete matrix decomposition for latent semantic indexing information retrieval
    • T. G. Kolda and D. P. O'Leary, "A semidiscrete matrix decomposition for latent semantic indexing information retrieval," ACM Transactions on Information Systems, vol. 16, no. 4, pp. 322-346, 1998.
    • (1998) ACM Transactions on Information Systems , vol.16 , Issue.4 , pp. 322-346
    • Kolda, T.G.1    O'Leary, D.P.2
  • 18
    • 85026972772 scopus 로고    scopus 로고
    • Probabilistic latent semantic indexing
    • T. Hofmann, "Probabilistic latent semantic indexing," in Proc. 22nd SIGIR, pp. 50-57, 1999.
    • (1999) Proc. 22nd SIGIR , pp. 50-57
    • Hofmann, T.1
  • 20
    • 0009007122 scopus 로고    scopus 로고
    • Multilevel algorithms for multi-constraint graph partitioning
    • G. Karypis and V. Kumar, "Multilevel algorithms for multi-constraint graph partitioning," in Proc. SC98, pp. 1-13, 1998.
    • (1998) Proc. SC98 , pp. 1-13
    • Karypis, G.1    Kumar, V.2
  • 21
    • 0041875229 scopus 로고    scopus 로고
    • On spectral clustering: Analysis and an algorithm
    • A. Y. Ng, M. I. Jordan, and Y. Weiss, "On spectral clustering: Analysis and an algorithm," in Proc. NIPS, pp. 849-856, 2001.
    • (2001) Proc. NIPS , pp. 849-856
    • Ng, A.Y.1    Jordan, M.I.2    Weiss, Y.3
  • 23
    • 34548558388 scopus 로고    scopus 로고
    • An approach to relate the web communities through bipartite graphs
    • P. K. Reddy and M. Kitsuregawa, "An approach to relate the web communities through bipartite graphs," in Proc. 2nd WISE, pp. 302-310, 2001.
    • (2001) Proc. 2nd WISE , pp. 302-310
    • Reddy, P.K.1    Kitsuregawa, M.2
  • 24
    • 12244258889 scopus 로고    scopus 로고
    • Mining multiple phenotype structures underlying gene expression profiles
    • C. Tang and A. Zhang, "Mining multiple phenotype structures underlying gene expression profiles," in Proc. CIKM03, pp. 418-425, 2003.
    • (2003) Proc. CIKM03 , pp. 418-425
    • Tang, C.1    Zhang, A.2
  • 25
    • 0018015137 scopus 로고
    • Modeling by shortest data description
    • J. Rissanen, "Modeling by shortest data description," Automatica, vol. 14, pp. 465-471, 1978.
    • (1978) Automatica , vol.14 , pp. 465-471
    • Rissanen, J.1
  • 26
    • 0000506580 scopus 로고
    • Generalized Kraft inequality and arithmetic coding
    • J. Rissanen, "Generalized Kraft inequality and arithmetic coding," IBM J. Res. Dev., vol. 20, no. 3, pp. 198-203, 1976.
    • (1976) IBM J. Res. Dev. , vol.20 , Issue.3 , pp. 198-203
    • Rissanen, J.1
  • 28
    • 0023364261 scopus 로고
    • Arithmetic coding for data compression
    • I. H. Witten, R. Neal, and J. G. Cleary, "Arithmetic coding for data compression," Comm. ACM, vol. 30, no. 6, pp. 520-540, 1987.
    • (1987) Comm. ACM , vol.30 , Issue.6 , pp. 520-540
    • Witten, I.H.1    Neal, R.2    Cleary, J.G.3
  • 29
    • 0001098776 scopus 로고
    • Universal prior for integers and estimation by minimum description length
    • J. Rissanen, "Universal prior for integers and estimation by minimum description length," Annals of Statistics, vol. 11, no. 2, pp. 416-431, 1983.
    • (1983) Annals of Statistics , vol.11 , Issue.2 , pp. 416-431
    • Rissanen, J.1
  • 32
    • 85008590372 scopus 로고    scopus 로고
    • Identifying web browsing trends and patterns
    • A. L. Montgomery and C. Faloutsos, "Identifying web browsing trends and patterns," IEEE Computer, vol. 34, no. 7, pp. 94-95, 2001.
    • (2001) IEEE Computer , vol.34 , Issue.7 , pp. 94-95
    • Montgomery, A.L.1    Faloutsos, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.