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» Discovering Structural Patterns in Telecommunications Data
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RECOMB
2008
Springer
15 years 10 months ago
Accounting for Non-genetic Factors Improves the Power of eQTL Studies
Abstract. The recent availability of large scale data sets profiling single nucleotide polymorphisms (SNPs) and gene expression across different human populations, has directed muc...
Oliver Stegle, Anitha Kannan, Richard Durbin, John...
PREMI
2007
Springer
15 years 3 months ago
Discovery of Process Models from Data and Domain Knowledge: A Rough-Granular Approach
The rapid expansion of the Internet has resulted not only in the ever-growing amount of data stored therein, but also in the burgeoning complexity of the concepts and phenomena per...
Andrzej Skowron
84
Voted
KDD
2005
ACM
165views Data Mining» more  KDD 2005»
15 years 10 months ago
Co-clustering by block value decomposition
Dyadic data matrices, such as co-occurrence matrix, rating matrix, and proximity matrix, arise frequently in various important applications. A fundamental problem in dyadic data a...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
IPPS
2000
IEEE
15 years 2 months ago
PaDDMAS: Parallel and Distributed Data Mining Application Suite
Discovering complex associations, anomalies and patterns in distributed data sets is gaining popularity in a range of scientific, medical and business applications. Various algor...
Omer F. Rana, David W. Walker, Maozhen Li, Steven ...
KDD
2002
ACM
152views Data Mining» more  KDD 2002»
15 years 10 months ago
Multimedia Data Mining Framework For Raw Video Sequences
In this paper, we propose a general framework for real time video data mining to be applied to the raw videos (traffic videos, surveillance videos, etc.). We investigate whether t...
Jung-Hwan Oh, Babitha Bandi