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AUSAI
2005
Springer
14 years 2 months ago
K-Optimal Pattern Discovery: An Efficient and Effective Approach to Exploratory Data Mining
Most data-mining techniques seek a single model that optimizes an objective function with respect to the data. In many real-world applications several models will equally optimize...
Geoffrey I. Webb
WINE
2005
Springer
268views Economy» more  WINE 2005»
14 years 2 months ago
Mining Stock Market Tendency Using GA-Based Support Vector Machines
In this study, a hybrid intelligent data mining methodology, genetic algorithm based support vector machine (GASVM) model, is proposed to explore stock market tendency. In this hyb...
Lean Yu, Shouyang Wang, Kin Keung Lai
DMKD
2003
ACM
151views Data Mining» more  DMKD 2003»
14 years 2 months ago
Assuring privacy when big brother is watching
Homeland security measures are increasing the amount of data collected, processed and mined. At the same time, owners of the data raised legitimate concern about their privacy and...
Murat Kantarcioglu, Chris Clifton
VRML
1997
ACM
14 years 1 months ago
Using VRML to Access Manufacturing Data
This paper describes the use of the Virtual Reality Modeling Language (VRML) in the VIM - Visual Interface to Manufacturing system. The VIM prototype demonstrates the technical fe...
Sandy Ressler, Qiming Wang, Scott Bodarky, Charles...
KDD
2003
ACM
135views Data Mining» more  KDD 2003»
14 years 9 months ago
Efficiently handling feature redundancy in high-dimensional data
High-dimensional data poses a severe challenge for data mining. Feature selection is a frequently used technique in preprocessing high-dimensional data for successful data mining....
Lei Yu, Huan Liu