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KDD
1994
ACM
96views Data Mining» more  KDD 1994»
14 years 1 months ago
DICE: A Discovery Environment Integrating Inductive Bias
: Most of Knowledge Discovery in Database (KDD) systems are integrating efficient Machine Learning techniques. In fact issues in Machine Learning and KDD are very close allowing fo...
Jean-Daniel Zucker, Vincent Corruble, J. Thomas, G...
PAKDD
2010
ACM
175views Data Mining» more  PAKDD 2010»
14 years 27 days ago
EigenSpokes: Surprising Patterns and Scalable Community Chipping in Large Graphs
Abstract. We report a surprising, persistent pattern in large sparse social graphs, which we term EigenSpokes. We focus on large Mobile Call graphs, spanning about 186K nodes and m...
B. Aditya Prakash, Ashwin Sridharan, Mukund Seshad...
KDD
2010
ACM
282views Data Mining» more  KDD 2010»
14 years 24 days 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....
CIT
2004
Springer
14 years 20 days ago
BioPubMiner: Machine Learning Component-Based Biomedical Information Analysis Platform
Abstract. In this paper we introduce BioPubMiner, a machine learning component-based platform for biomedical information analysis. BioPubMiner employs natural language processing t...
Jae-Hong Eom, Byoung-Tak Zhang
AUSDM
2006
Springer
82views Data Mining» more  AUSDM 2006»
14 years 20 days ago
Generality Is Predictive of Prediction Accuracy
During knowledge acquisition multiple alternative potential rules all appear equally credible. This paper addresses the dearth of formal analysis about how to select between such a...
Geoffrey I. Webb, Damien Brain