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» Massive Data Pre-Processing with a Cluster Based Approach
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ICDE
2004
IEEE
133views Database» more  ICDE 2004»
16 years 5 months ago
GenExplore: Interactive Exploration of Gene Interactions from Microarray Data
DNA Microarray provides a powerful basis for analysis of gene expression. Data mining methods such as clustering have been widely applied to microarray data to link genes that sho...
Yong Ye, Xintao Wu, Kalpathi R. Subramanian, Liyin...
DEXA
2009
Springer
175views Database» more  DEXA 2009»
15 years 11 months ago
RoK: Roll-Up with the K-Means Clustering Method for Recommending OLAP Queries
Dimension hierarchies represent a substantial part of the data warehouse model. Indeed they allow decision makers to examine data at different levels of detail with On-Line Analyt...
Fadila Bentayeb, Cécile Favre
DASFAA
2008
IEEE
190views Database» more  DASFAA 2008»
15 years 11 months ago
Analysis of Time Series Using Compact Model-Based Descriptions
Abstract. Recently, we have proposed a novel method for the compression of time series based on mathematical models that explore dependencies between different time series. This r...
Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...
IPPS
2006
IEEE
15 years 10 months ago
Design and analysis of a multi-dimensional data sampling service for large scale data analysis applications
Sampling is a widely used technique to increase efficiency in database and data mining applications operating on large dataset. In this paper we present a scalable sampling imple...
Xi Zhang, Tahsin M. Kurç, Joel H. Saltz, Sr...
CSIE
2009
IEEE
15 years 11 months ago
On the Effectiveness of Collaborative Tagging Systems for Describing Resources
This article investigates the effectiveness of community generated tags as social descriptors of resources uncoordinatedly annotated by community members. Our goal is to demonstra...
Jinsheng Xu, Christo Dichev, Albert C. Esterline, ...