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» Clustering Improves the Exploration of Graph Mining Results
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BIBE
2005
IEEE
154views Bioinformatics» more  BIBE 2005»
15 years 5 months ago
Effective Pre-Processing Strategies for Functional Clustering of a Protein-Protein Interactions Network
In this article we present novel preprocessing techniques, based on topological measures of the network, to identify clusters of proteins from Protein-protein interaction (PPI) ne...
Duygu Ucar, Srinivasan Parthasarathy, Sitaram Asur...
ICONIP
2009
14 years 9 months ago
Text Mining with an Augmented Version of the Bisecting K-Means Algorithm
There is an ever increasing number of electronic documents available today and the task of organizing and categorizing this ever growing corpus of electronic documents has become t...
Yutaro Hatagami, Toshihiko Matsuka
WWW
2006
ACM
16 years 15 days ago
A content and structure website mining model
We present a novel model for validating and improving the content and structure organization of a website. This model studies the website as a graph and evaluates its interconnect...
Barbara Poblete, Ricardo A. Baeza-Yates
ICDE
2006
IEEE
130views Database» more  ICDE 2006»
16 years 1 months ago
MIC Framework: An Information-Theoretic Approach to Quantitative Association Rule Mining
We propose a framework, called MIC, which adopts an information-theoretic approach to address the problem of quantitative association rule mining. In our MIC framework, we first d...
Yiping Ke, James Cheng, Wilfred Ng
WINE
2005
Springer
268views Economy» more  WINE 2005»
15 years 5 months ago
Mining Stock Market Tendency Using GA-Based Support Vector Machines
In this study, a hybrid intelligent data mining methodology, genetic algorithm based support vector machine (GASVM) model, is proposed to explore stock market tendency. In this hyb...
Lean Yu, Shouyang Wang, Kin Keung Lai