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» Statistical evaluation of voting rules
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ADVIS
2004
Springer
13 years 10 months ago
Multiple Sets of Rules for Text Categorization
An important issue in text mining is how to make use of multiple pieces knowledge discovered to improve future decisions. In this paper, we propose a new approach to combining mult...
Yaxin Bi, Terry J. Anderson, Sally I. McClean
BMCBI
2011
12 years 8 months ago
To aggregate or not to aggregate high-dimensional classifiers
Background: High-throughput functional genomics technologies generate large amount of data with hundreds or thousands of measurements per sample. The number of sample is usually m...
Cheng-Jian Xu, Huub C. J. Hoefsloot, Age K. Smilde
EVOW
2008
Springer
13 years 7 months ago
Genetic Programming in Statistical Arbitrage
Abstract. This paper employs genetic programming to discover statistical arbitrage strategies on the banking sector in the Euro Stoxx universe. Binary decision rules are evolved us...
Philip Saks, Dietmar G. Maringer
AUSDM
2006
Springer
118views Data Mining» more  AUSDM 2006»
13 years 9 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
PAKDD
2005
ACM
63views Data Mining» more  PAKDD 2005»
13 years 10 months ago
Pruning Derivative Partial Rules During Impact Rule Discovery
Because exploratory rule discovery works with data that is only a sample of the phenomena to be investigated, some resulting rules may appear interesting only by chance. Techniques...
Shiying Huang, Geoffrey I. Webb