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WEBI
2010
Springer
15 years 4 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
JIB
2010
90views more  JIB 2010»
15 years 5 months ago
Enhancing Data Integration with Text Analysis to Find Proteins Implicated in Plant Stress Response
s text mining techniques over Medline abstracts as a method for accessing both these bodies of evidence in a consistent way. In an example use case, we apply our method to create a...
Keywan Hassani-Pak, Roxane Legaie, Catherine Canev...
DEXA
2008
Springer
90views Database» more  DEXA 2008»
15 years 8 months ago
Knowledge Mining for the Business Analyst
There is an extensive literature on data mining techniques, including several applications of these techniques in the e-commerce setting. However, all previous approaches require t...
Themis Palpanas, Jakka Sairamesh
SIGKDD
2008
100views more  SIGKDD 2008»
15 years 6 months ago
Higher order mining
The value of knowledge obtainable by analysing large quantities of data is widely acknowledged. However, so-called primary or raw data may not always be available for knowledge di...
John F. Roddick, Myra Spiliopoulou, Daniel Lister,...
KDD
2006
ACM
175views Data Mining» more  KDD 2006»
16 years 7 months ago
A mixture model for contextual text mining
Contextual text mining is concerned with extracting topical themes from a text collection with context information (e.g., time and location) and comparing/analyzing the variations...
Qiaozhu Mei, ChengXiang Zhai