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» Data mining in the chemical industry
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KDD
2006
ACM
191views Data Mining» more  KDD 2006»
14 years 7 months ago
Beyond classification and ranking: constrained optimization of the ROI
Classification has been commonly used in many data mining projects in the financial service industry. For instance, to predict collectability of accounts receivable, a binary clas...
Lian Yan, Patrick Baldasare
BMCBI
2007
102views more  BMCBI 2007»
13 years 7 months ago
Setting up a large set of protein-ligand PDB complexes for the development and validation of knowledge-based docking algorithms
Background: The number of algorithms available to predict ligand-protein interactions is large and ever-increasing. The number of test cases used to validate these methods is usua...
Luis A. Diago, Persy Morell, Longendri Aguilera, E...
KDD
2002
ACM
122views Data Mining» more  KDD 2002»
14 years 7 months ago
Customer lifetime value modeling and its use for customer retention planning
We present and discuss the important business problem of estimating the effect of retention efforts on the Lifetime Value of a customer in the Telecommunications industry. We disc...
Saharon Rosset, Einat Neumann, Uri Eick, Nurit Vat...
ICDM
2007
IEEE
156views Data Mining» more  ICDM 2007»
13 years 11 months ago
Computing Correlation Anomaly Scores Using Stochastic Nearest Neighbors
This paper addresses the task of change analysis of correlated multi-sensor systems. The goal of change analysis is to compute the anomaly score of each sensor when we know that t...
Tsuyoshi Idé, Spiros Papadimitriou, Michail...
KDD
2005
ACM
205views Data Mining» more  KDD 2005»
14 years 27 days ago
Feature bagging for outlier detection
Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel feature bagging approach for detecting outliers in...
Aleksandar Lazarevic, Vipin Kumar