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EDBT
2000
ACM
15 years 9 months ago
Quality Assessment and Uncertainty Handling in Data Mining Process
The KDD process aims at the discovery and extraction of “useful” knowledge (such as interesting patterns, classification, rules etc) from large data repositories. A widely rec...
Maria Halkidi
SAMT
2007
Springer
136views Multimedia» more  SAMT 2007»
15 years 10 months ago
Automatic Recommendations for Machine-Assisted Multimedia Annotation: A Knowledge-Mining Approach
Recommender systems apply knowledge discovery techniques to help in finding associated information. In this paper, we investigate the use of association rule mining as an underlyi...
Mónica Díez, Paulo Villegas
KDD
2002
ACM
106views Data Mining» more  KDD 2002»
16 years 5 months ago
Selecting the right interestingness measure for association patterns
Many techniques for association rule mining and feature selection require a suitable metric to capture the dependencies among variables in a data set. For example, metrics such as...
Pang-Ning Tan, Vipin Kumar, Jaideep Srivastava
IEEEICCI
2002
IEEE
15 years 9 months 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
CG
2007
Springer
15 years 4 months ago
A 2D-3D visualization support for human-centered rule mining
On account of the enormous amounts of rules that can be produced by data mining algorithms, knowledge post-processing is a difficult stage in an association rule discovery process....
Julien Blanchard, Bruno Pinaud, Pascale Kuntz, Fab...