Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

10

HICSS
2007
IEEE

favoriteEmaildiscussreport

176views Biometrics» more HICSS 2007»

Mining Fuzzy Weighted Association Rules

13 years 10 months ago

Mining Fuzzy Weighted Association Rules

Download csdl2.computer.org

The paper combines and extends the technologies of fuzzy sets and association rules, considering users’ differential emphasis on each attribute through fuzzy regions. A fuzzy data mining algorithm is proposed to discovery fuzzy association rules for weighted quantitative data. This is expected to be more realistic and practical than crisp association rules. Discovered rules are expressed in natural language that is more understandable to humans. The paper demonstrates the performance of the proposed approach using a synthetic but realistic dataset.

David L. Olson, Yanhong Li

Real-time Traffic

Association Rules | Biometrics | Fuzzy Association Rules | Fuzzy Data Mining | HICSS 2007 | System Sciences |

claim paper

Related Content

» Utilizing Genetic Algorithms to Optimize Membership Functions for Fuzzy Weighted Associati...

» Mining Fuzzy Association Rules from Composite Items

» Fuzzy Decision Tree Induction Approach for Mining Fuzzy Association Rules

» Fuzzy Association Rule Reduction Using Clustering In Som Neural Network

» Weighted Association Rule Mining using weighted support and significance framework

» Mining Weighted Association Rules without Preassigned Weights

» Mining fuzzy periodic association rules

» Mining Positive and Negative Fuzzy Association Rules

» A Novel Rule Weighting Approach in Classification Association Rule Mining

Post Info
More Details (n/a)

Added	02 Jun 2010
Updated	02 Jun 2010
Type	Conference
Year	2007
Where	HICSS
Authors	David L. Olson, Yanhong Li

Comments (0)