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ICDCS
2002
IEEE
15 years 11 months 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...
BMCBI
2010
132views more  BMCBI 2010»
15 years 6 months ago
Next generation tools for genomic data generation, distribution, and visualization
Background: With the rapidly falling cost and availability of high throughput sequencing and microarray technologies, the bottleneck for effectively using genomic analysis in the ...
David A. Nix, Tonya L. Di Sera, Brian K. Dalley, B...
ACSW
2004
15 years 8 months ago
A Framework for Privacy Preserving Classification in Data Mining
Nowadays organizations all over the world are dependent on mining gigantic datasets. These datasets typically contain delicate individual information, which inevitably gets expose...
Zahidul Islam, Ljiljana Brankovic
RTSS
2009
IEEE
16 years 1 months ago
Impact of Data Fusion on Real-Time Detection in Sensor Networks
—Real-time detection is an important requirement of many mission-critical wireless sensor network applications such as battlefield monitoring and security surveillance. Due to t...
Rui Tan, Guoliang Xing, Benyuan Liu, Jianping Wang
CAI
2002
Springer
15 years 6 months ago
The Computing and Data Grid Approach: Infrastructure for Distributed Science Applications
Grid technology has evolved over the past several years to provide the services and infrastructure needed for building "virtual" systems and organizations. With this Gri...
William E. Johnston