Mining stable patterns in multiple correlated databases

Decision Support Systems

Volumn 56, Issue 1, 2013, Pages 202-210

  Lin, Yaojin ^a,b   Hu, Xuegang ^a   Li, Xiaomei ^a   Wu, Xindong ^c  

^a HEFEI UNIVERSITY OF TECHNOLOGY   (China)

^b MINNAN NORMAL UNIVERSITY   (China)

^c University of Vermont   (United States)

Author keywords

Gray relational analysis; Hierarchical clustering; Multiple correlated databases; Stable patterns

Indexed keywords

CLUSTERING METHODS; CONSTRAINT CONDITIONS; GRAY RELATIONAL ANALYSIS; HIER-ARCHICAL CLUSTERING; NEGATIVE ASSOCIATION RULES; SEQUENTIAL PATTERNS; STABLE PATTERNS; TEMPORAL PATTERN;

ASSOCIATION RULES; EXPERIMENTS;

DATABASE SYSTEMS;

EID: 84889088992     PISSN: 01679236     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.dss.2013.06.003     Document Type: Article

References (36)

1. A. Achar, S. Laxman, and P.S. Sastry A unified view of the Apriori-based algorithms for frequent episode discovery Knowledge and Information Systems 31 2 2012 223 250
2. J. Adhikari, P.R. Rao, and A. Adhikari Clustering items in different data sources induced by stability The International Arab Journal of Information Technology 6 4 2009 394 402
3. J. Adhikari, and P.R. Rao Measure influence of an item in a database over time Pattern Recognition Letters 31 1 2010 179 187
4. R. Agrawal, T. Imielinski, and A. Swami Mining association rules between sets of items in large databases Proceedings of the ACM SIGMOD International Conference on Management of Data, (SIGMOD '93), Washington DC, ACM New York, NY, USA 1993 207 216
5. R. Agrawal, and R. Srikant Fast algorithms for mining association rules Proceedings of International Conference on Very Large Data Bases, Santiago, Chile 1994 487 499
6. R. Agrawal, and R. Srikant Mining sequential patterns Proceedings of the Eleventh International Conference on Data Engineering 1995 3 4
7. H.K. Bhargava, and R.R. Chen The benefit of information asymmetry: when to sell to informed customers? Decision Support Systems 53 2 2012 345 356
8. S.L. Chan, and W.H. Ip A dynamic decision support system to predict the value of customer for new product development Decision Support Systems 52 1 2011 178 188
9. J.L. Deng Introduction of grey system theory Journal of Grey System 1 1 1989 1 24
10. Frequent itemset mining dataset repository http://fimi.ua.ac.be/data/
11. M. Gaya, and J. Giráldez Merging local patterns using an evolutionary approach Knowledge and Information Systems 29 1 2011 1 24
12. N.F. Granados, A. Gupta, and R.J. Kauffman Designing online selling mechanisms: transparency levels and prices Decision Support Systems 45 3 2008 729 745
13. S. Guha, R. Rastogi, and K. Shim CURE: an efficient clustering algorithm for large databases Proceedings of the International Conference on Management of Data June 1998 ACM SIGMOD Seattle, Washington, USA 73 84
14. J.W. Han, and M. Kamber Data Mining: Concepts and Techniques second ed. 2005 Morgan Kaufmann
15. S.J. Huang, N.H. Chiu, and L.W. Chen Integration of the grey relational analysis with genetic algorithm for software effort estimation European Journal of Operational Research 188 3 2008 898 909
16. G. Karypis, E.H. Han, and V. Kumar Chameleon: hierarchical clustering using dynamic modeling IEEE Computer 32 8 1999 68 75
17. L. Kaufman, and P.J. Rousseeuw Finding Groups in Data: An Introduction to Cluster Analysis second edition 2005 Wiley-Interscience
18. C.Y. Kung, and K.L. Wen Applying grey relational analysis and grey decision-making to evaluate the relationship between company attributes and its financial performance - a case study of venture capital enterprises in Taiwan Decision Support Systems 43 3 2007 842 852
19. B.K. Ehlmann Association patterns for data modeling and definition Knowledge and Information Systems 26 1 2011 59 86
20. H.Y. Liu, Y. Lin, and J.W. Han Methods for mining frequent items in data streams: an overview Knowledge and Information Systems 26 1 2011 1 30
21. W.-K. Loh, S. Mane, and J. Srivastava Mining temporal patterns in popularity of web items Information Sciences 181 22 2011 5010 5028
22. K. Rajasethupathy, A. Scime, K.S. Rajasethupathy, and G.R. Murray Finding "persistent rules": combining association and classification results Expert Systems with Applications 36 3 2009 6019 6024
23. A. Salam, and M.H. Khayal Mining top-k frequent patterns without minimum support threshold Knowledge and Information Systems 30 1 2012 57 86
24. K.L. Su, H.J. Huang, and X. Wu A logical framework for identifying quality knowledge from different data sources Decision Support Systems 42 3 2006 1673 1683
25. P. Su, W.J. Mao, and D. Zeng Mining actionable behavioral rules Decision Support Systems 2012 10.1016/j.dss.2012.04.013
26. K. Tang, Y.L. Chen, and H.W. Hu Context-based market basket analysis in a multiple-store environment Decision Support Systems 45 1 2008 150 163
27. S. Warshall A theorem on Boolean matrices Journal of the ACM 9 1962 11 12
28. G.W. Wei GRA method for multiple attribute decision making with incomplete weight information in intuitionistic fuzzy setting Knowledge-Based Systems 23 1 2010 243 247
29. F.B. Wu, Q. Li, and W.Z. Song Transfer algorithm to fuzzy clustering analysis Journal of Southeast University 29 2 1999 1 6
30. X. Wu, C.Q. Zhang, and S.C. Zhang Efficient mining of both positive and negative association rules ACM Transactions on Information Systems 22 3 2004 381 405
31. X. Wu, and S.C. Zhang Synthesizing high-frequency rules from different data sources IEEE Transactions on Knowledge and Data Engineering 15 2 2003 353 367
32. L.Y. Zhai, L.P. Khoo, and Z.W. Zhong Design concept evaluation in product development using rough sets and grey relation analysis Expert Systems with Applications 36 5 2009 7072 7079
33. S.C. Zhang, C.Q. Zhang, and X. Wu Knowledge Discovery in Multiple Databases 2004 Springer New York
34. S.C. Zhang, X.F. You, and Z. Jin Mining globally interesting patterns from multiple databases using kernel estimation Expert Systems with Applications 36 8 2009 10863 10869
35. T. Zhang, R. Ramakrishnan, and M. Livny BIRCH: an efficient data clustering method for very large databases Proceedings of the International Conference on Management of Data June 1996 ACM SIGMOD Montreal, Canada 103 144
36. X.Q. Zhu, B. Li, and X. Wu CLAP: collaborative pattern mining for distributed information systems Decision Support Systems 52 1 2011 40 51