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» Issues in Developing Very Large Data Warehouses
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HCW
2000
IEEE
14 years 1 days ago
Design of a Framework for Data-Intensive Wide-Area Applications
Applications that use collections of very large, distributed datasets have become an increasingly important part of science and engineering. With high performance wide-area networ...
Michael D. Beynon, Tahsin M. Kurç, Alan Sus...
ICDM
2003
IEEE
98views Data Mining» more  ICDM 2003»
14 years 27 days ago
On the Privacy Preserving Properties of Random Data Perturbation Techniques
Privacy is becoming an increasingly important issue in many data mining applications. This has triggered the development of many privacy-preserving data mining techniques. A large...
Hillol Kargupta, Souptik Datta, Qi Wang, Krishnamo...
BMCBI
2008
186views more  BMCBI 2008»
13 years 7 months ago
Variable selection for large p small n regression models with incomplete data: Mapping QTL with epistases
Background: Identifying quantitative trait loci (QTL) for both additive and epistatic effects raises the statistical issue of selecting variables from a large number of candidates...
Min Zhang, Dabao Zhang, Martin T. Wells
ICDE
2008
IEEE
113views Database» more  ICDE 2008»
14 years 2 months ago
A rank-rewrite framework for summarizing XML documents
Abstract— With XML becoming a standard for data representation and exchange, we can expect to see large scale repositories and warehouses of XML data. In order for users to under...
Maya Ramanath, Kondreddi Sarath Kumar
VISUALIZATION
2005
IEEE
14 years 1 months ago
Distributed Data Management for Large Volume Visualization
We propose a distributed data management scheme for large data visualization that emphasizes efficient data sharing and access. To minimize data access time and support users wit...
Jinzhu Gao, Jian Huang, C. Ryan Johnson, Scott Atc...