A landmark-model based system for mining frequent patterns from uncertain data streams

ACM International Conference Proceeding Series

Volumn , Issue , 2011, Pages 249-250

  Leung, Carson Kai Sang ^a   Jiang, Fan ^a   Hayduk, Yaroslav ^a  

^a UNIVERSITY OF MANITOBA   (Canada)

Author keywords

data mining; data streams; frequent itemsets; probabilistic databases; uncertain data

Indexed keywords

DATA STREAM; ITEM SETS; PROBABILISTIC DATABASE; PROCESS DATA; SLIDING WINDOW; STREAMING DATA; UNCERTAIN DATA STREAMS; UNCERTAIN DATAS;

DATA COMMUNICATION SYSTEMS; DATABASE SYSTEMS; SENSORS;

DATA MINING;

EID: 84855303580     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2076623.2076659     Document Type: Conference Paper

References (15)

1. R. Agrawal & R. Srikant. Fast algorithms for mining association rules. In Proc. VLDB 1994, pp. 487-499.
2. F. Cao, M. Ester, W. Qian & A. Zhou. Density-based clustering over an evolving data stream with noise. In Proc. SDM 2006, pp. 328-339.
3. Y. Chen, M.A. Nascimento, B.C. Ooi & A.K.H. Tung. SpADe: on shape-based pattern detection in streaming time series. In Proc. IEEE ICDE 2007, pp. 786-795.
4. A. Ciampi, F. Fumarola, A. Appice & D. Malerba. Approximate frequent itemset discovery from data stream. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ,2009,5883, pp 151-160, DOI: 10.1007/978-3-642-10291-2_16
5. M.M. Gaber, A.B. Zaslavsky & S. Krishnaswamy. Mining data streams: a review. SIGMOD Record, 34(2), pp. 18-26. 2005. (Pubitemid 41260006)
6. C. Giannella, J. Han, J. Pei, X. Yan & P.S. Yu. Mining frequent patterns in data streams at multiple time granularities. In Data Mining: Next Generation Challenges and Future Directions, ch. 6. 2004.
7. N. Jiang & L. Gruenwald. Research issues in data stream association rule mining. SIGMOD Record, 35(1), pp. 14-19. 2006. (Pubitemid 43383843)
8. C.K.-S. Leung. Mining uncertain data. WIREs Data Mining and Knowledge Discovery, 1(4), pp. 316-329. 2011.
9. C.K.-S. Leung & D.A. Brajczuk. uCFS2: an enhanced system that mines uncertain data for constrained frequent sets. In Proc. IDEAS 2010, pp. 32-37.
10. C.K.-S. Leung & B. Hao. Mining of frequent itemsets from streams of uncertain data. In Proc. IEEE ICDE 2009, pp. 1663-1670.
11. C.K.-S. Leung & F. Jiang. Frequent pattern mining from time-fading streams of uncertain data. In Proc. DaWaK 2011, pp. 252-264.
12. C.K.-S. Leung, M.A.F. Mateo & D.A. Brajczuk. A tree-based approach for frequent pattern mining from uncertain data. In Proc. PAKDD 2008, pp. 653-661.
13. G.A. Mihaila, I. Stanoi & C.A. Lang. Anomaly-free incremental output in stream processing. In Proc. CIKM 2008, pp. 359-368.
14. D. Suciu, D. Olteanu, C. Ré & C. Koch. Probabilistic Databases. 2011.
15. T.T.L. Tran, L. Peng, B. Li, Y. Diao & A. Liu. PODS: a new model and processing algorithms for uncertain data streams. In Proc. ACM SIGMOD 2010, pp. 159-170.