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ICDCS
2002
IEEE
14 years 15 days ago
A Fully Distributed Framework for Cost-Sensitive Data Mining
Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. S...
WWW
2008
ACM
14 years 8 months ago
Organizing and sharing distributed personal web-service data
The migration from desktop applications to Web-based services is scattering personal data across a myriad of Web sites, such as Google, Flickr, YouTube, and Amazon S3. This disper...
Roxana Geambasu, Cherie Cheung, Alexander Moshchuk...
GCC
2003
Springer
14 years 23 days ago
iCell: Integration Unit in Enterprise Cooperative Environment
An enterprise cooperative environment is combination of emerging technologies and methodologies on which both enterprise employee and customers can perform necessary business activ...
Ruey-Shyang Wu, Shyan-Ming Yuan, Anderson Liang, D...
EUROPAR
2005
Springer
14 years 1 months ago
Integrating Mobile Devices into the Grid: Design Considerations and Evaluation
Mobile devices increasingly offer functionality beyond the one provided by traditional resources – processor, memory and applications. This includes, for example, integrated mul...
Stavros Isaiadis, Vladimir Getov
DEXAW
2005
IEEE
133views Database» more  DEXAW 2005»
13 years 9 months ago
Inductive Databases: Towards a New Generation of Databases for Knowledge Discovery
Data mining applications are typically used in the decision making process. The Knowledge Discovery Process (KDD process for short) is a typical iterative process, in which not on...
Rosa Meo