An efficient algorithm for incremental mining of temporal association rules

Data and Knowledge Engineering

Volumn 69, Issue 8, 2010, Pages 800-815

  Gharib, Tarek F ^a   Nassar, Hamed ^b   Taha, Mohamed ^c   Abraham, Ajith ^d  

^a Ain Shams University   (Egypt)

^b SUEZ CANAL UNIVERSITY   (Egypt)

^c Benha University ^*  (Egypt)

^d SCIENTIFIC NETWORK FOR INNOVATION AND RESEARCH EXCELLENCE   (United States)

Author keywords

Incremental temporal mining; Temporal Association Rules (TAR); Temporal mining; Updating temporal association rules

Indexed keywords

CONVENTIONAL APPROACH; DATA SETS; EFFICIENT ALGORITHM; HANDLING TIME; INCREMENTAL ALGORITHM; INCREMENTAL MINING; MINING ALGORITHMS; TEMPORAL ASSOCIATION RULE; TEMPORAL ASSOCIATION RULES (TAR); TEMPORAL DATABASE; TEMPORAL MINING; TRANSACTION DATABASE;

ALGORITHMS; ASSOCIATIVE PROCESSING; DATABASE SYSTEMS; TAR; TIME SERIES;

ASSOCIATION RULES;

EID: 77955276320     PISSN: 0169023X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.datak.2010.03.002     Document Type: Article

References (23)

1. Qiankun Zhao, and Sourav S. Bhowmick Association Rule Mining: A Survey Technical Report, Center for Advanced Information Systems (CAIS), Nanyang Technological University, Singapore 2003
2. Jen-Wei Huang, Bi.-Ru. Dai, and Ming-Syan Chen Twain: Two-End Association Miner with Precise Frequent Exhibition Periods In the ACM Transactions on Knowledge Discovery from Data vol. 1 August 2007 Number 2, Article 8
3. R.C. Agarwal, C.C. Aggarwal, and V.V.V. Prasad A tree projection algorithm for generation of frequent item sets In the Journal of Parallel and Distributed Computing 61 3 March 2001 350 371
4. Jiawei Han, Jian Pei, and Yiwen Yin Mining Frequent Patterns Without Candidate Generation In Proceedings of the ACM-SIGMOD International Conference on Management of Data, Dallas, Texas, USA May 2000 1 12
5. Gosta Grahne, and Jianfei Zhu Fast algorithms for frequent itemset mining using FP-trees In the IEEE Transactions on Knowledge and Data Engineering 17 10 October 2005 1347 1362
6. Hui Ning, Haifeng Yuan, and Shugang Chen Temporal association rules in mining method In Proceedings of the 1st International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06), Zhejiang, China vol. 2 June 2006 739 742
7. Yingjiu Li, Peng Ning, Xiaoyang Sean Wang, and Sushil Jajodia Discovering Calendar-Based Temporal Association Rules In Proceedings of the 8th International Symposium on Temporal Representation and Reasoning, Cividale del Friuli, Italy June 2001 111 118
8. Chang-Hung Lee, Ming-Syan Chen, and Cheng-Ru Lin Progressive partition miner: an efficient algorithm for mining general temporal association rules In the IEEE Transaction on Knowledge and Data Engineering 15 4 July/August 2003 1004 1017
9. Wei Wang, Jiong Yang, and Richard Muntz TAR: Temporal Association Rules on Evolving Numerical Attributes In Proceedings of the 17th International Conference on Data Engineering (ICDE01), Heidelberg, Germany April 2001 283 292
10. Vincent Ng, Stephen Chan, Derek Lau, and Cheung Man Ying Incremental Mining for Temporal Association Rules for Crime Pattern Discoveries In Proceedings of the 18th Australasian Database Conference (ADC2007), Ballarat, Victoria, Australia January 2007 123 132
11. Chang-Hung Lee, Cheng-Ru Lin, and Ming-Syan Chen Sliding-Window Filtering: An Efficient Algorithm for Incremental Mining In Proceedings of the 10th International Conference on Information and Knowledge Management, Atlanta, Georgia, USA November 2001 263 270
12. Junheng-Huang, and Wang-Wei, Efficient algorithm for mining temporal association rule In the International Journal of Computer Science and Network Security (IJCSNS) 7 4 April 2007 268 271
13. Cheng-Yue Chang, Ming-Syan Chen, and Chang-Hung Lee Mining General Temporal Association Rules for Items with Different Exhibition Periods In Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM'02), Maebashi City, Japan December 2002 59 66
14. Abdullah Uz. Tansel, and Susan P. Imberman Discovery of Association Rules in Temporal Databases In Proceedings of the 4th International Conference on Information Technology (ITNG'07), Las Vegas, Nevada, USA April 2007 371 376
15. Chang-Hung Lee, Cheng-Ru Lin, Ming-Syan Chen, On Mining General Temporal Association Rules in a Publication Database, In Proceedings of the First IEEE International Conference on Data Mining (ICDM'01), San Jose, California, USA, November 2001, pp. 337-344.
16. Tarek F. Gharib, Mohamed Taha, and Hamed Nassar An efficient technique for incremental updating of association rules In the International Journal of Hybrid Intelligent Systems (IJHIS) 1448-5869 5 1 January 2008 45 53 IOS Press
17. Ahmed Emam Future Direction of Incremental Association Rules Mining In Proceedings of the 47th ACM Annual Southeast Regional Conference, Clemson, South Carolina March 2009 Article No. 74
18. Wang Yuping, Dong Nanping, and Zhou Guanling Incremental Updating Algorithm Based on Partial Support Tree for Mining Association Rules In Proceedings of IITA International Conference on Control, Automation and Systems Engineering (CASE 2009), Zhangjiajie, China July 2009 17 20
19. Chun-Wei Lin, Tzung-Pei Hong, and Wen-Hsiang Lu The Pre-FUFP algorithm for incremental mining In the International Journal of Expert Systems with Applications 36 5 July 2009 9498 9505 Elsevier Science
20. Shin-Yi Wu, and Yen-Liang Chen Discovering hybrid temporal patterns from sequences consisting of point- and interval-based events In the International Journal of Data & Knowledge Engineering 68 11 November 2009 1309 1330
21. Haifeng Lia, and Hong Chen Mining non-derivable frequent itemsets over data stream In the International Journal of Data & Knowledge Engineering 68 5 May 2009 481 498
22. Anjana Pandey, and K.R. Pardasani PPCI algorithm for mining temporal association rules in large databases In International Journal of Information & Knowledge Management (JIKM) 08 04 April 2009 345 352
23. Ying-Hsiang Wen, Jen-Wei Huang, and Ming-Syan Chen Hardware-enhanced association rule mining with hashing and pipelining In Proceedings of IEEE Transactions on Knowledge and Data Engineering 20 6 June 2008 784 795