BP-growth: Searching strategies for efficient behavior pattern mining

Proceedings - 2012 IEEE 13th International Conference on Mobile Data Management, MDM 2012

Volumn , Issue , 2012, Pages 238-247

  Li, Xueying ^a   Cao, Huanhuan ^b   Chen, Enhong ^a   Xiong, Hui ^c   Tian, Jilei ^b  

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

^b NOKIA RESEARCH CENTER   (United States)

^c RUTGERS UNIVERSITY   (United States)

Author keywords

behavior pattern mining; optimizing strategies

Indexed keywords

BEHAVIOR PATTERNS; COMPUTING RESOURCE; INTELLIGENCE SERVICES; MEMORY COST; MOBILE ENVIRONMENTS; MOBILE USERS; OPTIMIZING STRATEGIES; SEARCHING STRATEGY; USER BEHAVIOR PATTERNS; USER HABIT; USER INTERACTION;

ALGORITHMS; GLOBAL SYSTEM FOR MOBILE COMMUNICATIONS; INFORMATION MANAGEMENT; MOBILE DEVICES; OPTIMIZATION;

BEHAVIORAL RESEARCH;

EID: 84870765082     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MDM.2012.14     Document Type: Conference Paper

References (14)

1. Palen, L., Salzman, M. and Youngs, E., "Going wireless: behavior & practice of new mobile phone users." in CSCW '00: Proceedings of the 2000 ACM conference on Computer supported cooperative work. New York, NY, USA: ACM Press, 2000, pp. 201-210.
2. Tseng, V. S. and Lin, K. V., "Efficient mining and prediction of user behavior patterns in mobile web systems." Information and Software Technology., pp. 357-369, 2006.
3. Cao, H., Bao, T., and Yang, Q. et al., "An effective approach for mining mobile user habits." in Proceedings of the 19th ACM international conference on Information and knowledge management (CIKM'10), 2010, pp. 1677-1680.
4. Schilit, B., Adams, N., and Want, R., "Context-aware computing applications." in Proceedings of the Workshop on Mobile Computing Systems and Applications. IEEE Computer Society, 1994, pp. 85-90.
5. Agrawal, R., Imieliński, T. and Swami, A., "Mining association rules between sets of items in large databases." in Proceedings of the 1993 ACM SIGMOD international conference on Management of data (SIGMOD '93). ACM, 1993, pp. 207-216.
6. Fukuda, T., Morimoto, Y. and Morishita, S. et al., "Mining optimized association rules for numeric attributes," in Proceedings of the 5th ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems (PODS'96), 1996, pp. 182-191.
7. Han, J., Pei, J. and Yin, Y., "Mining frequent patterns without candidate generation." in Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data (SIGMOD'00). ACM, 2000, pp. 1-12.
8. Agrawal, R. and Srikant, R., "Fast algorithms for mining association rules." in Proceedings of the 20th International Conference on Very Large Data Bases (VLDB'94), 1994, pp. 487-499.
9. Cao, H., Bao, T., and Chen, E., "An effective approach for mining mobile user habits." University of Science and Technology of China., Tech. Rep., 2010. [Online]. Available: http://dm.ustc.edu.cn/paperlist.html
10. Han, J., Pei, J. and Yin, Y. et al., "Mining frequent patterns without candidate generation: a frequent-pattern tree approach." Data Min. Knowl. Discov., vol. 8, no. 1, pp. 53-87, 2004.
11. Wang, J., Han, J., and Pei, J., "Closet+: Searching for the best strategies for mining frequent closed itemsets." in Proceedings of the 9rd ACM SIGKDD international conference on Knowledge discovery and data mining (KDD'03)., 2003, pp. 236-245.
12. Pei, J., and Han, J., and Mortazavi-Aslet, B. et al., "Prefixspan: mining sequential patterns efficiently by prefix-projected pattern growth." in Proceedings of the 16th IEEE International Conference on Data Engineering (ICDE'01), 2001, p. 215C226.
13. Chiu, D., Wu, Y., and Chen, A. L. P., "An efficient algorithm for mining frequent sequences by a new strategy without support counting." in Proceedings of the 20th International Conference on Data Engineering (ICDE04). IEEE Computer Society, 2004, pp. 375-386.
14. Chen, E., and Cao, H., and Li, Q. et al., "Efficient strategies for tough aggregate constraint-based sequential pattern mining," Inf. Sci., vol. 178, no. 6, pp. 1498-1518, 2008.