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» Distributed Data Mining Models as Services on the Grid
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KDD
2008
ACM
110views Data Mining» more  KDD 2008»
16 years 6 months ago
Mining preferences from superior and inferior examples
Mining user preferences plays a critical role in many important applications such as customer relationship management (CRM), product and service recommendation, and marketing camp...
Bin Jiang, Jian Pei, Xuemin Lin, David W. Cheung, ...
KDD
2002
ACM
122views Data Mining» more  KDD 2002»
16 years 6 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...
APSCC
2008
IEEE
16 years 25 days ago
A Tale of Clouds: Paradigm Comparisons and Some Thoughts on Research Issues
Cloud computing is an emerging computing paradigm. It aims to share data, calculations, and services transparently among users of a massive grid. Although the industry has started...
Lijun Mei, Wing Kwong Chan, Tsun-Him Tse
KDD
2005
ACM
178views Data Mining» more  KDD 2005»
15 years 12 months ago
Failure detection and localization in component based systems by online tracking
The increasing complexity of today’s systems makes fast and accurate failure detection essential for their use in mission-critical applications. Various monitoring methods provi...
Haifeng Chen, Guofei Jiang, Cristian Ungureanu, Ke...
SDM
2003
SIAM
110views Data Mining» more  SDM 2003»
15 years 7 months ago
Mixture Models and Frequent Sets: Combining Global and Local Methods for 0-1 Data
We study the interaction between global and local techniques in data mining. Specifically, we study the collections of frequent sets in clusters produced by a probabilistic clust...
Jaakko Hollmén, Jouni K. Seppänen, Hei...