Sciweavers

95 search results - page 11 / 19
» Mining Positive and Negative Fuzzy Association Rules
Sort
View
TEC
2008
104views more  TEC 2008»
14 years 9 months ago
Genetic-Fuzzy Data Mining With Divide-and-Conquer Strategy
Data mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binary-valued transaction data. Transaction data i...
Tzung-Pei Hong, Chun-Hao Chen, Yeong-Chyi Lee, Yu-...
77
Voted
KDD
1998
ACM
147views Data Mining» more  KDD 1998»
15 years 1 months ago
ADtrees for Fast Counting and for Fast Learning of Association Rules
Abstract: The problem of discovering association rules in large databases has received considerable research attention. Much research has examined the exhaustive discovery of all a...
Brigham S. Anderson, Andrew W. Moore
ICMCS
2007
IEEE
190views Multimedia» more  ICMCS 2007»
15 years 4 months ago
Video Event Detection with Combined Distance-Based and Rule-Based Data Mining Techniques
In this paper, the rare event detection issue in video event detection is addressed through the proposed data mining framework which can be generalized to be domain independent. T...
Zongxing Xie, Mei-Ling Shyu, Shu-Ching Chen
FUZZIEEE
2007
IEEE
15 years 4 months ago
A Genetic-Fuzzy Mining Approach for Items with Multiple Minimum Supports
—In the past, we proposed a genetic-fuzzy data-mining algorithm for extracting both association rules and membership functions from quantitative transactions under a single minim...
Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng, C...
WWW
2007
ACM
15 years 10 months ago
Mirror site maintenance based on evolution associations of web directories
Mirroring Web sites is a well-known technique commonly used in the Web community. A mirror site should be updated frequently to ensure that it reflects the content of the original...
Ling Chen 0002, Sourav S. Bhowmick, Wolfgang Nejdl