With over 800 million pages covering most areas of human endeavor, the World-wide Web
is a fertile ground for data mining research to make a difference to the effectiveness of …

Mining the Web: Discovering Knowledge from Hypertext Data is the first book devoted
entirely to techniques for producing knowledge from the vast body of unstructured Web data …

Text document clustering plays an important role in providing intuitive navigation and
browsing mechanisms by organizing large sets of documents into a small number of …

This paper explores a method that use WordNet concept to categorize text documents. The
bag of words representation used for text representation is unsatisfactory as it ignores …

Text document clustering plays an important role in providing better document retrieval,
document browsing, and text mining. Traditionally, clustering techniques do not consider the …

Text document clustering provides an effective and intuitive navigation mechanism to
organize a large amount of retrieval results by grouping documents in a small number of …

In this paper we investigate two classes of techniques to determine what is salient in a text,
as a means of deciding whether that information should be included in a summary. We …

Automatically annotating texts with background information has recently received much
attention. We conduct a case study in automatically generating links from narrative radiology …

I take issue with AI formalizations of context, primarily the formalization by McCarthy and
Buvac, that regard context as an undefined primitive whose formalization can be the same in …

With the rapid development of web content, retrieving relevant information is difficult task.
The efficient clustering algorithms are needed to improve the results of the retrieval …