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» Discovering Classification from Data of Multiple Sources
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WEBI
2010
Springer
13 years 5 months ago
Discovering Research Communities by Clustering Bibliographical Data
Today's world is characterized by the multiplicity of interconnections through many types of links between the people, that is why mining social networks appears to be an impo...
Fabrice Muhlenbach, Stéphane Lallich
ER
1999
Springer
155views Database» more  ER 1999»
13 years 11 months ago
XML-based Components for Federating Multiple Heterogeneous Data Sources
Several federated database systems have been built in the past using the relational or the object model as federating model. This paper gives an overview of the XMLMedia system, a ...
Georges Gardarin, Fei Sha, Tuyet-Tram Dang-Ngoc
KDD
2008
ACM
206views Data Mining» more  KDD 2008»
14 years 8 months ago
Identifying biologically relevant genes via multiple heterogeneous data sources
Selection of genes that are differentially expressed and critical to a particular biological process has been a major challenge in post-array analysis. Recent development in bioin...
Zheng Zhao, Jiangxin Wang, Huan Liu, Jieping Ye, Y...
ADVIS
2004
Springer
14 years 28 days ago
Multiple Sets of Rules for Text Categorization
An important issue in text mining is how to make use of multiple pieces knowledge discovered to improve future decisions. In this paper, we propose a new approach to combining mult...
Yaxin Bi, Terry J. Anderson, Sally I. McClean
BMCBI
2010
115views more  BMCBI 2010»
13 years 7 months ago
Integration of multiple data sources to prioritize candidate genes using discounted rating system
Background: Identifying disease gene from a list of candidate genes is an important task in bioinformatics. The main strategy is to prioritize candidate genes based on their simil...
Yongjin Li, Jagdish Chandra Patra