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PKDD
2010
Springer
169views Data Mining» more  PKDD 2010»
15 years 4 months ago
Efficient and Numerically Stable Sparse Learning
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
Sihong Xie, Wei Fan, Olivier Verscheure, Jiangtao ...
KDD
2008
ACM
192views Data Mining» more  KDD 2008»
16 years 6 months ago
Partial least squares regression for graph mining
Attributed graphs are increasingly more common in many application domains such as chemistry, biology and text processing. A central issue in graph mining is how to collect inform...
Hiroto Saigo, Koji Tsuda, Nicole Krämer
BMCBI
2002
134views more  BMCBI 2002»
15 years 6 months ago
CoreGenes: A computational tool for identifying and cataloging "core" genes in a set of small genomes
Background: Improvements in DNA sequencing technology and methodology have led to the rapid expansion of databases comprising DNA sequence, gene and genome data. Lower operational...
Nikhat Zafar, Raja Mazumder, Donald Seto
KDD
2007
ACM
566views Data Mining» more  KDD 2007»
16 years 6 months ago
IMDS: intelligent malware detection system
The proliferation of malware has presented a serious threat to the security of computer systems. Traditional signature-based antivirus systems fail to detect polymorphic and new, ...
Yanfang Ye, Dingding Wang, Tao Li, Dongyi Ye
AUSDM
2007
Springer
144views Data Mining» more  AUSDM 2007»
16 years 19 days ago
An Empirical Study of Similarity Search in Stock Data
Using certain artificial intelligence techniques, stock data mining has given encouraging results in both trend analysis and similarity search. However, representing stock data ef...
Lay-Ki Soon, Sang Ho Lee