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» Hybrid Learning Scheme for Data Mining Applications
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VLDB
1997
ACM
169views Database» more  VLDB 1997»
13 years 12 months ago
Mining Insurance Data at Swiss Life
Huge masses of digital data about products, customers and competitors have become available for companies in the services sector. In order to exploit its inherent (and often hidde...
Jörg-Uwe Kietz, Ulrich Reimer, Martin Staudt
BMCBI
2005
251views more  BMCBI 2005»
13 years 7 months ago
Contextual weighting for Support Vector Machines in literature mining: an application to gene versus protein name disambiguation
Background: The ability to distinguish between genes and proteins is essential for understanding biological text. Support Vector Machines (SVMs) have been proven to be very effici...
Tapio Pahikkala, Filip Ginter, Jorma Boberg, Jouni...
NAR
2008
142views more  NAR 2008»
13 years 7 months ago
CMGSDB: integrating heterogeneous Caenorhabditis elegans data sources using compositional data mining
CMGSDB (Database for Computational Modeling of Gene Silencing) is an integration of heterogeneous data sources about Caenorhabditis elegans with capabilities for compositional dat...
Amrita Pati, Ying Jin, Karsten Klage, Richard F. H...
ICDM
2010
IEEE
193views Data Mining» more  ICDM 2010»
13 years 5 months ago
Supervised Link Prediction Using Multiple Sources
Link prediction is a fundamental problem in social network analysis and modern-day commercial applications such as Facebook and Myspace. Most existing research approaches this pro...
Zhengdong Lu, Berkant Savas, Wei Tang, Inderjit S....
KDD
2008
ACM
192views Data Mining» more  KDD 2008»
14 years 8 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