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HIPC
1999
Springer
15 years 11 months ago
High Performance Data Mining
Abstract. Recent times have seen an explosive growth in the availability of various kinds of data. It has resulted in an unprecedented opportunity to develop automated data-driven ...
Vipin Kumar, Jaideep Srivastava
WAIM
2010
Springer
15 years 4 months ago
An Efficient Approach for Mining Segment-Wise Intervention Rules in Time-Series Streams
Huge time-series stream data are collected every day from many areas, and their trends may be impacted by outside events, hence biased from its normal behavior. This phenomenon is ...
Yue Wang, Jie Zuo, Ning Yang, Lei Duan, Hong-Jun L...
KDD
2003
ACM
135views Data Mining» more  KDD 2003»
16 years 7 months ago
Efficiently handling feature redundancy in high-dimensional data
High-dimensional data poses a severe challenge for data mining. Feature selection is a frequently used technique in preprocessing high-dimensional data for successful data mining....
Lei Yu, Huan Liu
CISIS
2010
IEEE
16 years 1 months ago
Semantic Integration of Heterogeneous Data Sources for Monitoring Frequent-Release Software Projects
Abstract—Open source software teams routinely develop complex software products in frequent-release settings with rather lightweight processes and project documentation. In this ...
Stefan Biffl, Wikan Danar Sunindyo, Thomas Moser
185
Voted
CSB
2003
IEEE
150views Bioinformatics» more  CSB 2003»
16 years 7 days ago
Algorithms for Bounded-Error Correlation of High Dimensional Data in Microarray Experiments
The problem of clustering continuous valued data has been well studied in literature. Its application to microarray analysis relies on such algorithms as -means, dimensionality re...
Mehmet Koyutürk, Ananth Grama, Wojciech Szpan...