MFIS - Mining frequent itemsets on data streams

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4093 LNAI, Issue , 2006, Pages 1085-1093

  Xie, Zhi Jun ^a   Chen, Hong ^a   Li, Cuiping ^a  

^a RENMIN UNIVERSITY OF CHINA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; SET THEORY; STORAGE ALLOCATION (COMPUTER); DATA COMMUNICATION SYSTEMS; EQUIVALENCE CLASSES;

GREATEST LOWER BOUND (GLB); LEAST UPPER BOUND (LUB); REDUNDANT ITEMSETS; BATCH UPDATE; DATA STREAM; EXPERIMENTAL EVALUATION; LOWER BOUNDS; MEMORY EFFICIENT; MINING FREQUENT ITEMSETS; REAL DATA SETS; UPPER BOUND;

DATA MINING;

EID: 33749410765     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11811305_118     Document Type: Conference Paper

References (10)

1. R. Agrawal and R. Srikant. Fast algorithms for mining association rules. In Proc. Very Large Databases (VLDB'94), pages 487-499, Santiago, Chile, September 1994.
2. C. Borgelt. Apriori implementation. http://fuzzy.cs.UniMagdeburg.de/ borgelt / Software.
3. J. Gehrke, F. Korn, and D. Srivastava. On computing correlated aggregates over continual data streams. In Proc. ACM SIGMOD Management of Data, pp 13-24. June 2001.
4. Bart Goethals. FP-tree Implementation, http://www.cs.helsinki.fi/u/ goethals/software/index.html.
5. R. Jin and G. Agrawal. An algorithm for in-core frequent itemset mining on streaming data, International Conference on Data Mining 2005 (ICDM2005), pp 210-217.
6. M.J. Zaki and C. Hsiao. Charm, An efficient algorithm for closed itemset mining. In 2nd SIAM Data Mining, 2002
7. J. Han, J. Pei, and Y. Yin. Mining Frequent patterns without candidate generation. In Proceedings of the ACM SIGMOD Conference on Management of Data, 2000.
8. Cuiping Li, Gao Cong, Anthony K. H. Tung, Shan Wang, Incremental Maintenance of Quotient Cube for sum and Median, SIGKDD pp.226-235, 2004
9. G.S. Manku and R. Motwain. Approximate Frequency Counts Over Data Streams. In proceedings of Conference on Very Large Database (VLDB), pp 346-357, 2002
10. ZJ. Xie, H. Chen, and C. Li, An Efficient Algorithm for Frequent Itemset Mining on Data Streams. The 6th Industrial Conference of Data Mining 2006 (ICDM2006), LNAI4065, pp. 474-491, 2006.July 2006, Leipzig, Germany