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KDD
2007
ACM
276views Data Mining» more  KDD 2007»
14 years 7 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
KDD
2007
ACM
201views Data Mining» more  KDD 2007»
14 years 7 months ago
Structural and temporal analysis of the blogosphere through community factorization
The blogosphere has unique structural and temporal properties since blogs are typically used as communication media among human individuals. In this paper, we propose a novel tech...
Yun Chi, Shenghuo Zhu, Xiaodan Song, Jun'ichi Tate...
KDD
2002
ACM
145views Data Mining» more  KDD 2002»
14 years 7 months ago
Handling very large numbers of association rules in the analysis of microarray data
The problem of analyzing microarray data became one of important topics in bioinformatics over the past several years, and different data mining techniques have been proposed for ...
Alexander Tuzhilin, Gediminas Adomavicius
SIGMOD
2009
ACM
175views Database» more  SIGMOD 2009»
14 years 7 months ago
QoX-driven ETL design: reducing the cost of ETL consulting engagements
As business intelligence becomes increasingly essential for organizations and as it evolves from strategic to operational, the complexity of Extract-Transform-Load (ETL) processes...
Alkis Simitsis, Kevin Wilkinson, Malú Caste...
SIGMOD
2007
ACM
124views Database» more  SIGMOD 2007»
14 years 7 months ago
Query suspend and resume
Suppose a long-running analytical query is executing on a database server and has been allocated a large amount of physical memory. A high-priority task comes in and we need to ru...
Badrish Chandramouli, Christopher N. Bond, Shivnat...