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PAKDD
2004
ACM
183views Data Mining» more  PAKDD 2004»
14 years 22 days ago
Constraint-Based Graph Clustering through Node Sequencing and Partitioning
This paper proposes a two-step graph partitioning method to discover constrained clusters with an objective function that follows the well-known minmax clustering principle. Compar...
Yu Qian, Kang Zhang, Wei Lai
ICTAI
2002
IEEE
14 years 9 days ago
Data Mining for Selective Visualization of Large Spatial Datasets
Data mining is the process of extracting implicit, valuable, and interesting information from large sets of data. Visualization is the process of visually exploring data for patte...
Shashi Shekhar, Chang-Tien Lu, Pusheng Zhang, Ruli...
KDD
2008
ACM
244views Data Mining» more  KDD 2008»
14 years 7 months ago
Probabilistic latent semantic visualization: topic model for visualizing documents
We propose a visualization method based on a topic model for discrete data such as documents. Unlike conventional visualization methods based on pairwise distances such as multi-d...
Tomoharu Iwata, Takeshi Yamada, Naonori Ueda
CG
2007
Springer
13 years 7 months ago
Visual data mining and analysis of software repositories
In this article we describe an ongoing effort to integrate information visualization techniques into the process of configuration management for software systems. Our focus is to...
Lucian Voinea, Alexandru Telea
KDD
2009
ACM
161views Data Mining» more  KDD 2009»
14 years 2 months ago
Interactive spatio-temporal cluster analysis of VAST challenge 2008 datasets
We describe a visual analytics method supporting the analysis of two different types of spatio-temporal data, point events and trajectories of moving agents. The method combines c...
Gennady L. Andrienko, Natalia V. Andrienko