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» Graph Mining based on a Data Partitioning Approach
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ICDM
2008
IEEE
92views Data Mining» more  ICDM 2008»
15 years 7 months ago
A Shrinkage Approach for Modeling Non-stationary Relational Autocorrelation
Recent research has shown that collective classification in relational data often exhibit significant performance gains over conventional approaches that classify instances indi...
Pelin Angin, Jennifer Neville
123
Voted
ICDM
2006
IEEE
122views Data Mining» more  ICDM 2006»
15 years 6 months ago
Latent Friend Mining from Blog Data
The rapid growth of blog (also known as “weblog”) data provides a rich resource for social community mining. In this paper, we put forward a novel research problem of mining t...
Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen
HPDC
2006
IEEE
15 years 6 months ago
Task Scheduling and File Replication for Data-Intensive Jobs with Batch-shared I/O
This paper addresses the problem of efficient execution of a batch of data-intensive tasks with batch-shared I/O behavior, on coupled storage and compute clusters. Two scheduling...
Gaurav Khanna 0002, Nagavijayalakshmi Vydyanathan,...
ADMA
2006
Springer
149views Data Mining» more  ADMA 2006»
15 years 6 months ago
An Interactive Visualization Environment for Data Exploration Using Points of Interest
We present in this paper an interactive method for numeric or symbolic data visualization that allows a domain expert to extract useful knowledge and information. We propose a new ...
David Da Costa, Gilles Venturini
103
Voted
ICDM
2009
IEEE
153views Data Mining» more  ICDM 2009»
14 years 10 months ago
A New Clustering Algorithm Based on Regions of Influence with Self-Detection of the Best Number of Clusters
Clustering methods usually require to know the best number of clusters, or another parameter, e.g. a threshold, which is not ever easy to provide. This paper proposes a new graph-b...
Fabrice Muhlenbach, Stéphane Lallich