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» Data Mining for Genetics: A Genetic Algorithm Approach
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ICDM
2003
IEEE
104views Data Mining» more  ICDM 2003»
15 years 9 months ago
Localized Prediction of Continuous Target Variables Using Hierarchical Clustering
In this paper, we propose a novel technique for the efficient prediction of multiple continuous target variables from high-dimensional and heterogeneous data sets using a hierarch...
Aleksandar Lazarevic, Ramdev Kanapady, Chandrika K...
KDD
2010
ACM
282views Data Mining» more  KDD 2010»
15 years 8 months ago
Optimizing debt collections using constrained reinforcement learning
In this paper, we propose and develop a novel approach to the problem of optimally managing the tax, and more generally debt, collections processes at financial institutions. Our...
Naoki Abe, Prem Melville, Cezar Pendus, Chandan K....
152
Voted
KDD
2007
ACM
153views Data Mining» more  KDD 2007»
16 years 4 months ago
Exploiting duality in summarization with deterministic guarantees
Summarization is an important task in data mining. A major challenge over the past years has been the efficient construction of fixed-space synopses that provide a deterministic q...
Panagiotis Karras, Dimitris Sacharidis, Nikos Mamo...
BMCBI
2006
108views more  BMCBI 2006»
15 years 4 months ago
An improved map of conserved regulatory sites for Saccharomyces cerevisiae
Background: The regulatory map of a genome consists of the binding sites for proteins that determine the transcription of nearby genes. An initial regulatory map for S. cerevisiae...
Kenzie D. MacIsaac, Ting Wang, D. Benjamin Gordon,...
BMCBI
2007
147views more  BMCBI 2007»
15 years 4 months ago
Bias in random forest variable importance measures: Illustrations, sources and a solution
Variable importance measures for random forests have been receiving increased attention as a means of variable selection in many classification tasks in bioinformatics and relate...
Carolin Strobl, Anne-Laure Boulesteix, Achim Zeile...