Digital Library
Search: "[ keyword: Rule ]" (71)
Development and Application of An Adaptive Web Site Construction Algorithm
Yun Hee Choi , Woo Chun Jun The KIPS Transactions:PartD,
Vol. 16, No. 3, pp. 423-432,
Jun.
2009
10.3745/KIPSTD.2009.16.3.423
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
A Method for Mining Interval Event Association Rules from a Set of Events Having Time Property
Dae Young Han , Dae In Kim , Jae In Kim , Chol Su Na , Bu Hyun Hwang The KIPS Transactions:PartD,
Vol. 16, No. 2, pp. 185-190,
Apr.
2009
10.3745/KIPSTD.2009.16.2.185
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Efficient Storage Structures for a Stock Investment Recommendation System
You Min Ha , Sang Wook Kim , Sang Hyun Park , Seung Hwan Lim The KIPS Transactions:PartD,
Vol. 16, No. 2, pp. 169-176,
Apr.
2009
10.3745/KIPSTD.2009.16.2.169
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Approximation of Frequent Itemsets with Maximum Size by One-scan for Association Rule Mining Application
Gab Soo Han The KIPS Transactions:PartD,
Vol. 15, No. 4, pp. 475-484,
Aug.
2008
10.3745/KIPSTD.2008.15.4.475
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Frequent Patterns Mining using only one-time Database Scan
Duck Jin Chai , Long Jin , Yong Mi Lee , Bu Hyun Hwang , Keun Ho Ryu The KIPS Transactions:PartD,
Vol. 15, No. 1, pp. 15-30,
Feb.
2008
10.3745/KIPSTD.2008.15.1.15
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Mining Association Rule for the Abnormal Event in Data Stream Systems
Dae In Kim , Joon Park , Bu Hyun Hwang The KIPS Transactions:PartD,
Vol. 14, No. 5, pp. 483-490,
Aug.
2007
10.3745/KIPSTD.2007.14.5.483
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Constructing Gene Regulatory Networks using Frequent Gene Expression Pattern and Chain Rules
Heon Gyu Lee , Keun Ho Ryu , Doo Young Joung The KIPS Transactions:PartD,
Vol. 14, No. 1, pp. 9-20,
Feb.
2007
10.3745/KIPSTD.2007.14.1.9
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
A Variable Business Component Development and Case Study Using a Rule Based Analysis Pattern and UML Components
Yong Hwan Lee , Dug Ki Min The KIPS Transactions:PartD,
Vol. 13, No. 7, pp. 947-958,
Dec.
2006
10.3745/KIPSTD.2006.13.7.947
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Context Information Model using Ontologies and Rules Based on Spatial Object
Park Mi, Ryu Keun-Ho The KIPS Transactions:PartD,
Vol. 13, No. 6, pp. 789-796,
Oct.
2006
http://dx.doi.org/10.3745/KIPSTD.2006.13D.6.789
Keywords: Context-aware, context information model, Ontology Rule, Spatial Object
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Keywords: Context-aware, context information model, Ontology Rule, Spatial Object
Mining Association Rules in Multidimensional Stream Data
Kim Dae-In, Park Joon, Kim Hong-Ki, Hwang Bu-Hyun The KIPS Transactions:PartD,
Vol. 13, No. 6, pp. 765-774,
Oct.
2006
http://dx.doi.org/10.3745/KIPSTD.2006.13D.6.765
Keywords: StreAm Data, Stream Data Mining, Association Rule, Significant Rare Itemsets, Maximal Frequent Itemsets
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Keywords: StreAm Data, Stream Data Mining, Association Rule, Significant Rare Itemsets, Maximal Frequent Itemsets