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» Data Mining and Database Systems: Where is the Intersection
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ICDCS
2002
IEEE
14 years 12 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...
EDBT
2009
ACM
158views Database» more  EDBT 2009»
13 years 10 months ago
An approach to detecting relevant updates to cached data using XML and active databases
Client/server information systems use caching techniques to reduce the volume of transmitted data as well as response time and, especially in the case of systems with mobile clien...
Essam Mansour, Hagen Höpfner
SIGMOD
2010
ACM
305views Database» more  SIGMOD 2010»
14 years 8 days ago
MoveMine: mining moving object databases
With the maturity of GPS, wireless, and Web technologies, increasing amounts of movement data collected from various moving objects, such as animals, vehicles, mobile devices, and...
Zhenhui Li, Ming Ji, Jae-Gil Lee, Lu An Tang, Yint...
KDD
2007
ACM
211views Data Mining» more  KDD 2007»
14 years 7 months ago
Enhanced max margin learning on multimodal data mining in a multimedia database
The problem of multimodal data mining in a multimedia database can be addressed as a structured prediction problem where we learn the mapping from an input to the structured and i...
Zhen Guo, Zhongfei Zhang, Eric P. Xing, Christos F...
KDD
2003
ACM
210views Data Mining» more  KDD 2003»
14 years 7 months ago
Privacy-preserving k-means clustering over vertically partitioned data
Privacy and security concerns can prevent sharing of data, derailing data mining projects. Distributed knowledge discovery, if done correctly, can alleviate this problem. The key ...
Jaideep Vaidya, Chris Clifton