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» Evaluation of Sampling for Data Mining of Association Rules
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115
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IEEEICCI
2002
IEEE
15 years 5 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
AUSDM
2008
Springer
229views Data Mining» more  AUSDM 2008»
15 years 2 months ago
Minors as Miners - Modelling and Evaluating Ontological and Linguistic Learning
Growing up is in large measure learning about the world and our social and linguistic environment. We might call this data mining, although it is far more multimodal and immersive...
David M. W. Powers
107
Voted
KDD
2005
ACM
139views Data Mining» more  KDD 2005»
16 years 1 months ago
Reasoning about sets using redescription mining
Redescription mining is a newly introduced data mining problem that seeks to find subsets of data that afford multiple definitions. It can be viewed as a generalization of associa...
Mohammed Javeed Zaki, Naren Ramakrishnan
KDD
1998
ACM
106views Data Mining» more  KDD 1998»
15 years 4 months ago
Simultaneous Reliability Evaluation of Generality and Accuracy for Rule Discovery in Databases
This paper presents an algorithm for discovering conjunction rules with high reliability from data sets. The discovery of conjunction rules, each of which is a restricted form of ...
Einoshin Suzuki
AUSDM
2006
Springer
118views Data Mining» more  AUSDM 2006»
15 years 4 months ago
Efficiently Identifying Exploratory Rules' Significance
How to efficiently discard potentially uninteresting rules in exploratory rule discovery is one of the important research foci in data mining. Many researchers have presented algor...
Shiying Huang, Geoffrey I. Webb