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IPPS
2003
IEEE
16 years 9 days ago
A Compilation Framework for Distributed Memory Parallelization of Data Mining Algorithms
With the availability of large datasets in a variety of scientific and commercial domains, data mining has emerged as an important area within the last decade. Data mining techni...
Xiaogang Li, Ruoming Jin, Gagan Agrawal
ICDIM
2010
IEEE
15 years 5 months ago
Data mining and automatic OLAP schema generation
Data mining aims at extraction of previously unidentified information from large databases. It can be viewed as an automated application of algorithms to discover hidden patterns a...
Muhammad Usman, Sohail Asghar, Simon Fong
280
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PPOPP
2010
ACM
16 years 4 months ago
A distributed placement service for graph-structured and tree-structured data
Effective data placement strategies can enhance the performance of data-intensive applications implemented on high end computing clusters. Such strategies can have a significant i...
Gregory Buehrer, Srinivasan Parthasarathy, Shirish...
CLUSTER
2002
IEEE
15 years 12 months ago
User-Level Remote Data Access in Overlay Metacomputers
A practical problem faced by users of metacomputers and computational grids is: If my computation can move from one system to another, how can I ensure that my data will still be ...
Jeff Siegel, Paul Lu
CN
2006
163views more  CN 2006»
15 years 7 months ago
A framework for mining evolving trends in Web data streams using dynamic learning and retrospective validation
The expanding and dynamic nature of the Web poses enormous challenges to most data mining techniques that try to extract patterns from Web data, such as Web usage and Web content....
Olfa Nasraoui, Carlos Rojas, Cesar Cardona