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» From Comparing Clusterings to Combining Clusterings
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KDD
2002
ACM
179views Data Mining» more  KDD 2002»
14 years 9 months ago
Combining clustering and co-training to enhance text classification using unlabelled data
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
Bhavani Raskutti, Herman L. Ferrá, Adam Kow...
CORR
2004
Springer
208views Education» more  CORR 2004»
13 years 8 months ago
Business Intelligence from Web Usage Mining
The rapid e-commerce growth has made both business community and customers face a new situation. Due to intense competition on the one hand and the customer's option to choose...
Ajith Abraham
CLUSTER
2009
IEEE
14 years 3 months ago
Investigating the use of GPU-accelerated nodes for SAR image formation
The computation of an electromagnetic reflectivity image from a set of radar returns is a computationally intensive process. Therefore, the use of high performance computing is r...
Timothy D. R. Hartley, Ahmed Fasih, Charles A. Ber...
IEEECIT
2009
IEEE
14 years 3 months ago
Clustering of Software Systems Using New Hybrid Algorithms
—Software clustering is a method for increasing software system understanding and maintenance. Software designers, first use MDG graph to model the structure of software system. ...
Ali Safari Mamaghani, Mohammad Reza Meybodi
IPPS
2010
IEEE
13 years 7 months ago
Large-scale multi-dimensional document clustering on GPU clusters
Document clustering plays an important role in data mining systems. Recently, a flocking-based document clustering algorithm has been proposed to solve the problem through simulat...
Yongpeng Zhang, Frank Mueller, Xiaohui Cui, Thomas...