Incrementally fast updated sequential pattern trees

Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC

Volumn 7, Issue , 2008, Pages 3991-3996

  Hong, Tzung Pei ^a   Chen, Hsin Yi ^b   Lin, Chun Wei ^b   Li, Sheng Tun ^c  

^a NATIONAL UNIVERSITY OF KAOHSIUNG   (Taiwan)

^b NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

^c NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

Author keywords

Data mining; FUSP tree; Incremental mining; Large sequence; Pre large sequence; Sequential pattern

Indexed keywords

ASSOCIATIVE PROCESSING; CONTROL THEORY; CUSTOMER SATISFACTION; CYBERNETICS; DATA MINING; DATABASE SYSTEMS; INFORMATION MANAGEMENT; LEARNING SYSTEMS; MAINTENANCE; MINING; ROBOT LEARNING; SALES; SEQUENTIAL SWITCHING;

FUSP TREE; INCREMENTAL MINING; LARGE SEQUENCE; PRE-LARGE SEQUENCE; SEQUENTIAL PATTERN;

TREES (MATHEMATICS);

EID: 57749110830     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2008.4621100     Document Type: Conference Paper

References (15)

1. R. Agrawal, T. Imielinksi, and A. Swami, "Mining association rules between sets of items in large database", The ACM SIGMOD Conference, pp. 207-216, Washington DC, USA, 1993.
2. R. Agrawal, T. Imielinksi, and A. Swami, "Database mining: a performance perspective", IEEE Transactions on Knowledge and Data Engineering, Vol. 5, No. 6, pp. 914-925, 1993.
3. R. Agrawal and R. Srikant, "Fast algorithm for mining association rules", The International Conference on Very Large Data Bases, pp. 487-499, 1994.
4. R. Agrawal and R. Srikant, "Mining sequential patterns", The Eleventh IEEE International Conference on Data Engineering, pp. 3-14, 1995.
5. R. Agrawal, R. Srikant, and Q. Vu, "Mining association rules with item constraints", The Third International Conference on Knowledge Discovery in Databases and Data Mining, pp. 67-73, Newport Beach, California, 1997.
6. M. S. Chen, J. Han, and P. S. Yu, "Data mining: An overview from a database perspective", IEEE Transactions on Knowledge and Data Engineering, Vol. 8, No. 6, pp. 866-883, 1996.
7. D. W. Cheung, J. Han, V. T. Ng, and C. Y. Wong, "Maintenance of discovered association rules in large databases: An incremental updating approach", The Twelfth IEEE International Conference on Data Engineering, pp. 106-114, 1996.
8. H. Cheng, X. Yan, and J. Han, "IncSpan: incremental mining of sequential patterns in large database", The ACM SIGKDD international conference on Knowledge discovery and data mining, pp.527-532, 2004.
9. J. Han, J. Pei and Y. Yin, "Mining frequent patterns without candidate generation", The 2000 ACM SIGMOD International Conference on Management of Data, pp. 1-12, 2000.
10. T. P. Hong, C. Y. Wang, and Y. H. Tao, "Incremental data mining based on two support thresholds", The Fourth International Conference on Knowledge-Based Intelligent Engineering Systems & Allied Technologies, 2000.
11. T. P. Hong, C. Y. Wang, and Y. H. Tao, "A new incremental data mining algorithm using pre-large itemsets", Intelligent Data Analysis, Vol. 5, No. 2, pp. 111-129, 2001.
12. T. P. Hong, C. Y. Wang, and S. S. Tseng, "Incremental data mining for sequential patterns using pre-large sequences", The fifth world multi-conference on Systemics, Cybernetics and Informatics, 2001.
13. T. P. Hong, C. W. Lin, and Y. L. Wu, "Incrementally fast updated frequent pattern trees", Expert Systems with Applications , Vol. 34, Issue 5, pp. 2424-2435, 2008.
14. M. Y. Lin and S. Y. Lee, "Incremental update on sequential patterns in large databases", The Tenth IEEE International Conference on Tools with Artificial Intelligence, pp. 24-31, 1998.
15. R. Srikant and R. Agrawal, "Mining sequential patterns: generalizations and performance improvements", The Fifth International Conference on Knowledge Discovery and Data Mining (KDD'95), pp. 269-274, 1995.