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» Symbolic Methodology in Numeric Data Mining: Relational Tech...
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IS
2007
13 years 5 months ago
Branch-and-bound processing of ranked queries
Despite the importance of ranked queries in numerous applications involving multi-criteria decision making, they are not efficiently supported by traditional database systems. In ...
Yufei Tao, Vagelis Hristidis, Dimitris Papadias, Y...
KDD
2010
ACM
282views Data Mining» more  KDD 2010»
13 years 9 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....
KDD
2003
ACM
122views Data Mining» more  KDD 2003»
14 years 5 months ago
Discovery of climate indices using clustering
To analyze the effect of the oceans and atmosphere on land climate, Earth Scientists have developed climate indices, which are time series that summarize the behavior of selected ...
Michael Steinbach, Pang-Ning Tan, Vipin Kumar, Ste...
KDD
2001
ACM
150views Data Mining» more  KDD 2001»
14 years 5 months ago
Empirical bayes screening for multi-item associations
This paper considers the framework of the so-called "market basket problem", in which a database of transactions is mined for the occurrence of unusually frequent item s...
William DuMouchel, Daryl Pregibon
AIIA
2003
Springer
13 years 10 months ago
Improving the SLA Algorithm Using Association Rules
A bayesian network is an appropriate tool for working with uncertainty and probability, that are typical of real-life applications. In literature we find different approaches for b...
Evelina Lamma, Fabrizio Riguzzi, Andrea Stambazzi,...