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KDD
2002
ACM
179views Data Mining» more  KDD 2002»
16 years 4 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...
KDD
2001
ACM
187views Data Mining» more  KDD 2001»
16 years 4 months ago
Random projection in dimensionality reduction: applications to image and text data
Random projections have recently emerged as a powerful method for dimensionality reduction. Theoretical results indicate that the method preserves distances quite nicely; however,...
Ella Bingham, Heikki Mannila
ICDM
2005
IEEE
163views Data Mining» more  ICDM 2005»
15 years 10 months ago
Efficient Text Classification by Weighted Proximal SVM
In this paper, we present an algorithm that can classify large-scale text data with high classification quality and fast training speed. Our method is based on a novel extension o...
Dong Zhuang, Benyu Zhang, Qiang Yang, Jun Yan, Zhe...
ICDCSW
2000
IEEE
15 years 8 months ago
Adding Mobility to Non-Mobile Web Robots
In this paper we will show that it is possible to combine mobile agent technology with existing non-mobile data mining applications. The motivation for this is the advantage mobil...
Nils P. Sudmann, Dag Johansen
ICDM
2003
IEEE
119views Data Mining» more  ICDM 2003»
15 years 9 months ago
A Dynamic Adaptive Self-Organising Hybrid Model for Text Clustering
Clustering by document concepts is a powerful way of retrieving information from a large number of documents. This task in general does not make any assumption on the data distrib...
Chihli Hung, Stefan Wermter