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JCS
2000
148views more  JCS 2000»
15 years 4 months ago
Using Sample Size to Limit Exposure to Data Mining
Data mining introduces new problems in database security. The basic problem of using non-sensitive data to infer sensitive data is made more difficult by the "prob abilistic&...
Chris Clifton
DMIN
2009
142views Data Mining» more  DMIN 2009»
15 years 2 months ago
Action Selection in Customer Value Optimization: An Approach Based on Covariate-Dependent Markov Decision Processes
Typical methods in CRM marketing include action selection on the basis of Markov Decision Processes with fixed transition probabilities on the one hand, and scoring customers separ...
Angi Roesch, Harald Schmidbauer
ICDE
2001
IEEE
192views Database» more  ICDE 2001»
16 years 5 months ago
Integrating Data Mining with SQL Databases: OLE DB for Data Mining
The integration of data mining with traditional database systems is key to making it convenient, easy to deploy in real applications, and to growing its user base. In this paper w...
Amir Netz, Surajit Chaudhuri, Usama M. Fayyad, Jef...
ICTAI
2010
IEEE
15 years 1 months ago
Pocket Data Mining: Towards Collaborative Data Mining in Mobile Computing Environments
Abstract--Pocket Data Mining PDM is our new term describing collaborative mining of streaming data in mobile and distributed computing environments. With sheer amounts of data stre...
Frederic T. Stahl, Mohamed Medhat Gaber, Max Brame...
IJCNN
2007
IEEE
15 years 10 months ago
An Associative Memory for Association Rule Mining
— Association Rule Mining is a thoroughly studied problem in Data Mining. Its solution has been aimed for by approaches based on different strategies involving, for instance, the...
Vicente O. Baez-Monroy, Simon O'Keefe