An efficient association rule mining algorithm in distributed databases

Proceedings - 1st International Workshop on Knowledge Discovery and Data Mining, WKDD

Volumn , Issue , 2008, Pages 108-113

  Jian, Wu ^a   Ming, Li Xing ^a  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; ALGORITHMS; APPLICATIONS; ASSOCIATIVE PROCESSING; BOOLEAN FUNCTIONS; COMPUTER NETWORKS; DATA MINING; DATABASE SYSTEMS; DECISION SUPPORT SYSTEMS; INFORMATION MANAGEMENT; KNOWLEDGE BASED SYSTEMS; KNOWLEDGE MANAGEMENT; MINING;

DISTRIBUTED DATABASES; KNOWLEDGE DISCOVERY AND DATA MINING; SEQUENTIAL ALGORITHMS;

SEQUENTIAL SWITCHING;

EID: 50949098808     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WKDD.2008.33     Document Type: Conference Paper

References (11)

1. D.W. Cheung, et al., "A Fast Distributed Algorithm for Mining Association Rules," Proc. Parallel and Distributed Information Systems, IEEE CS Press, 1996, pp. 31-42;
2. M.J. Zaki and Y. Pin, "Introduction: Recent Developments in Parallel and Distributed Data Mining," J. Distributed and Parallel Databases, vol. 11, no. 2, 2002, pp. 123-127.
3. D.W. Cheung, et al., "Efficient Mining of Association Rules in Distributed Databases, "IEEE Trans. Knowledge and Data Eng., vol. 8, no. 6, 1996, pp. 911-922;
4. A. Schuster and R. Wolff, "Communication-Efficient Distributed Mining of Association Rules," Proc. ACM SIGMOD Int'l Conf. Management of Data, ACM Press, 2001, pp. 473-484.
5. R. Agrawal, T. Imielinski, and A. Swami, "Mining Association Rules Between Sets of Items in Large Databases," Proc. ACMSIGMOD Int'l Conf. Management of Data, pp. 207-216, May 1993.
6. M.Z Ashrafi, Monash University ODAM: An Optimized Distributed Association Rule Mining Algorithm, IEEE DISTRIBUTED SYSTEMS ONLINE 1541-4922 © 2004 Published by the IEEE Computer Society Vol. 5, No. 3; March 2004 F. Mills, Statistical Methods, Pitman, 1955.
7. Kimball, R., Ross, M.: The Data Warehouse Toolkit, The Complete Guide to Dimensional Modeling. 2nd edn. John Wiley & Sons, New York (2002)
8. Nestorov, S., Jukic, N.: Ad-Hoc Association-Rule Mining within the Data Warehouse. In: Abstract Proc. Hawaii Int. Conf. on System Sciences (HICSS' 03), IEEE Computer Society Press (2003) 232, http://people.cs.uchicago.edu/evtimov/ pubs/hicss03.pdf
9. Ma, Y., Liu, B., Wong, C.K.: Web for Data Mining: Organizing and Interpreting the Discovered Rules Using the Web. SIGKDD Explorations, Vol. 2(1). ACM Press, New York (2000) 16-23
10. Zaky, M.J., Parthasarathy, S., Ogihara, M., Li, W.: New Algorithm for Fast Discovery of Association Rules. Technical Report No. 261, University of Rochester (1997), http://cs.aue.aau.dk/contribution/projects/datamining/papers/t r651.pdf
11. Hand, D., Manilla, H., Smyth, P.: Principles of Data Mining, MIT Press, Cambridge-London (2001)