JIPS (한국정보처리학회)
Current Result Document : 6 / 7
| 한글제목(Korean Title) |
IMTAR: Incremental Mining of General Temporal Association Rules |
| 영문제목(English Title) |
IMTAR: Incremental Mining of General Temporal Association Rules |
| 저자(Author) |
Anour F.A. Dafa-Alla
Ho Sun Shon
Khalid E.K. Saeed
Minghao Piao
Un-il Yun
Kyung Joo Cheoi
Keun Ho Ryu
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| 원문수록처(Citation) |
VOL 06 NO. 02 PP. 0163 ~ 0176 (2010. 06) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
Nowadays due to the rapid advances in the field of information systems, transactional databases are being updated regularly and/or periodically. The knowledge discovered from these databases has to be maintained, and an incremental updating technique needs to be developed for maintaining the discovered association rules from these databases. The concept of Temporal Association Rules has been introduced to solve the problem of handling time series by including time expressions into association rules. In this paper we introduce a novel algorithm for Incremental Mining of General Temporal Association Rules (IMTAR) using an extended TFP-tree. The main benefits introduced by our algorithm are that it offers significant advantages in terms of storage and running time and it can handle the problem of mining general temporal association rules in incremental databases by building TFP-trees incrementally. It can be utilized and applied to real life application domains. We demonstrate our algorithm and its advantages in this paper. |
| 키워드(Keyword) |
IncrementalMiningofGeneralTemporalAssociationRules
Incremental TFP-Tree
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| 파일첨부 |
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