Finding Locally and Periodically Frequent Sets and Periodic Association Rules-Reference-Cited by-同舟云学术

Finding Locally and Periodically Frequent Sets and Periodic Association Rules

Published:2005 Issue: Volume: Page:576-582
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Mahanta A. Kakoti,Mazarbhuiya F. A.,Baruah H. K.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/11590316_91.pdf

Reference8 articles.

1. Agrawal, R., Imielinski, T., Swami, A.: Mining association rules between sets of items in large databases. In: Proceedings of ACM SIGMOD 1993, Washington (1993)

2. Ale, J.M., Rossi, G.H.: An approach to discovering temporal association rules. In: Proceedings of 2000 ACM symposium on Applied Computing (2000)

3. Lecture Notes in Computer Science;X. Chen,1998

4. Lecture Notes in Computer Science;X. Chen,1998

5. Chen, X., Petrounias, I., Healthfield, H.: Discovering temporal Association rules in temporal databases. In: Proceedings of IADT 1998, pp. 312–319 (1998)

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fuzzy Periodic Patterns from Super-Market Datasets;Lecture Notes in Networks and Systems;2022

2. An Approach for Mining Similarity Profiled Temporal Association Patterns Using Gaussian Based Dissimilarity Measure;Proceedings of the The International Conference on Engineering & MIS 2015 - ICEMIS '15;2015

3. A Survey on Temporal Databases and Data mining;Proceedings of the The International Conference on Engineering & MIS 2015 - ICEMIS '15;2015

4. Concluding Remarks;Advances in Knowledge Discovery in Databases;2014-12-28

5. Mining Calendar-Based Periodic Patterns in Time-Stamped Data;Data Analysis and Pattern Recognition in Multiple Databases;2013-12-07