Abstract. This paper presents the Interval Categorizer Tessellationbased Model (ICTM) for the simultaneous categorization of geographic regions considering several characteristics ...
Clustering is an important data mining problem. Most of the earlier work on clustering focussed on numeric attributes which have a natural ordering on their attribute values. Rece...
Venkatesh Ganti, Johannes Gehrke, Raghu Ramakrishn...
We explore techniques for detecting news articles containing invalid information, using the help of text categorization technology. The information that exists on the World Wide W...
Clustering is an active research topic in data mining and different methods have been proposed in the literature. Most of these methods are based on the use of a distance measure ...
Sampling has been recognized as an important technique to improve the efficiency of clustering. However, with sampling applied, those points which are not sampled will not have t...