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AUSAI
2004
Springer
14 years 1 months ago
Using Classification to Evaluate the Output of Confidence-Based Association Rule Mining
Abstract. Association rule mining is a data mining technique that reveals interesting relationships in a database. Existing approaches employ different parameters to search for int...
Stefan Mutter, Mark Hall, Eibe Frank
KDD
2000
ACM
142views Data Mining» more  KDD 2000»
14 years 1 months ago
Automating exploratory data analysis for efficient data mining
Having access to large data sets for the purpose of predictive data mining does not guarantee good models, even when the size of the training data is virtually unlimited. Instead,...
Jonathan D. Becher, Pavel Berkhin, Edmund Freeman
DEXA
2008
Springer
123views Database» more  DEXA 2008»
13 years 12 months ago
Emerging Pattern Based Classification in Relational Data Mining
The usage of descriptive data mining methods for predictive purposes is a recent trend in data mining research. It is well motivated by the understandability of learned models, the...
Michelangelo Ceci, Annalisa Appice, Donato Malerba
IADIS
2008
13 years 11 months ago
Data Mining In Marketing Acquisition CAMPAIGNS
Business applications of data mining in marketing often focus on use of predictive models to classify customer events such as acquisition, sales of products and services or custom...
Krzysztof Dzieciolowski, Dennis Kira
SDM
2007
SIAM
140views Data Mining» more  SDM 2007»
13 years 11 months ago
A General Framework for Mining Concept-Drifting Data Streams with Skewed Distributions
In recent years, there have been some interesting studies on predictive modeling in data streams. However, most such studies assume relatively balanced and stable data streams but...
Jing Gao, Wei Fan, Jiawei Han, Philip S. Yu