Sciweavers

38 search results - page 4 / 8
» Mining fuzzy periodic association rules
Sort
View
EUSFLAT
2007
103views Fuzzy Logic» more  EUSFLAT 2007»
13 years 9 months ago
Measuring Variation Strength in Gradual Dependencies
In this paper we extend a previous definition of gradual dependence as a special kind of (crisp) association rule, in order to measure not only the existence of a tendency, but i...
Carlos Molina, José-María Serrano, D...
BMCBI
2008
171views more  BMCBI 2008»
13 years 7 months ago
Fuzzy association rules for biological data analysis: A case study on yeast
Background: Last years' mapping of diverse genomes has generated huge amounts of biological data which are currently dispersed through many databases. Integration of the info...
Francisco J. Lopez, Armando Blanco, Fernando Garci...
IEEEICCI
2002
IEEE
14 years 16 days ago
Mining Fuzzy Rules in A Donor Database for Direct Marketing by a Charitable Organization
Given a donor database by a charitable organization in Hong Kong, we propose to use a new data mining technique to discover fuzzy rules for direct marketing. The discovered fuzzy ...
Keith C. C. Chan, Wai-Ho Au, Berry Choi
GRC
2010
IEEE
13 years 5 months ago
Genetic-Fuzzy Data Mining Techniques
This paper surveys some genetic-fuzzy data mining techniques for mining both membership functions and fuzzy association rules. The motivation from crisp mining to fuzzy mining wil...
Tzung-Pei Hong, Chun-Hao Chen, Vincent S. Tseng
JIPS
2010
165views more  JIPS 2010»
13 years 2 months ago
IMTAR: Incremental Mining of General Temporal Association Rules
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...
Anour F. A. Dafa-Alla, Ho-Sun Shon, Khalid E. K. S...