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KDD
2010
ACM
233views Data Mining» more  KDD 2010»
15 years 7 months ago
Evolutionary hierarchical dirichlet processes for multiple correlated time-varying corpora
Mining cluster evolution from multiple correlated time-varying text corpora is important in exploratory text analytics. In this paper, we propose an approach called evolutionary h...
Jianwen Zhang, Yangqiu Song, Changshui Zhang, Shix...
IDEAL
2007
Springer
15 years 9 months ago
A Tool for Web Usage Mining
This paper presents a tool for web usage mining. The aim is centered on providing a tool that facilitates the mining process rather than implement elaborated algorithms and techniq...
José M. Domenech, Javier Lorenzo
HPDC
2006
IEEE
15 years 9 months ago
Troubleshooting Distributed Systems via Data Mining
Through massive parallelism, distributed systems enable the multiplication of productivity. Unfortunately, increasing the scale of available machines to users will also multiply d...
David A. Cieslak, Douglas Thain, Nitesh V. Chawla
155
Voted
CORR
2011
Springer
202views Education» more  CORR 2011»
14 years 10 months ago
Visualization techniques for data mining of Latur district satellite imagery
This study presents a new visualization tool for classification of satellite imagery. Visualization of feature space allows exploration of patterns in the image data and insight in...
B. G. Kodge, P. S. Hiremath
JDWM
2006
84views more  JDWM 2006»
15 years 3 months ago
Discovering Surprising Instances of Simpson's Paradox in Hierarchical Multidimensional Data
This paper focuses on the discovery of surprising, unexpected patterns, based on a data mining method that consists of detecting instances of Simpson's paradox. By its very n...
Carem C. Fabris, Alex Alves Freitas