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» Improving data mining utility with projective sampling
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PKDD
2001
Springer
104views Data Mining» more  PKDD 2001»
15 years 2 months ago
Data Reduction Using Multiple Models Integration
Large amount of available information does not necessarily imply that induction algorithms must use all this information. Samples often provide the same accuracy with less computat...
Aleksandar Lazarevic, Zoran Obradovic
IDEAL
2003
Springer
15 years 2 months ago
Improving the Efficiency of Frequent Pattern Mining by Compact Data Structure Design
Mining frequent patterns has been a topic of active research because it is computationally the most expensive step in association rule discovery. In this paper, we discuss the use ...
Raj P. Gopalan, Yudho Giri Sucahyo
PAKDD
2004
ACM
96views Data Mining» more  PAKDD 2004»
15 years 2 months ago
Spectral Energy Minimization for Semi-supervised Learning
The use of unlabeled data to aid classification is important as labeled data is often available in limited quantity. Instead of utilizing training samples directly into semi-super...
Chun Hung Li, Zhi-Li Wu
ICDM
2008
IEEE
106views Data Mining» more  ICDM 2008»
15 years 4 months ago
Metropolis Algorithms for Representative Subgraph Sampling
While data mining in chemoinformatics studied graph data with dozens of nodes, systems biology and the Internet are now generating graph data with thousands and millions of nodes....
Christian Hübler, Hans-Peter Kriegel, Karsten...
BMCBI
2004
158views more  BMCBI 2004»
14 years 9 months ago
Improvement of alignment accuracy utilizing sequentially conserved motifs
Background: Multiple sequence alignment algorithms are very important tools in molecular biology today. Accurate alignment of proteins is central to several areas such as homology...
Saikat Chakrabarti, Nitin Bhardwaj, Prem A. Anand,...