The automated categorization (or classification) of texts into predefined categories has
witnessed a booming interest in the last 10 years, due to the increased availability of …

Classification of Web page content is essential to many tasks in Web information retrieval
such as maintaining Web directories and focused crawling. The uncontrolled nature of Web …

Text mining is a new and exciting area of computer science research that tries to solve the
crisis of information overload by combining techniques from data mining, machine learning …

The rough and fuzzy set approaches presented here open up many new frontiers for
continued research and development Computational Intelligence and Feature Selection …

The structure of the web is increasingly being used to improve organization, search, and
analysis of information on the web. For example, Google uses the text in citing documents …

Web-page classification is much more difficult than pure-text classification due to a large
variety of noisy information embedded in Web pages. In this paper, we propose a new Web …

The automated categorisation (or classification) of texts into topical categories has a long
history, dating back at least to 1960. Until the late'80s, the dominant approach to the problem …

Abstract Systems and methods for verifying relevance between terms and Web site contents
are described. In one aspect, site contents from a bid URL are retrieved. Expanded term (s) …

Feature selection (FS) refers to the problem of selecting those input attributes that are most
predictive of a given outcome; a problem encountered in many areas such as machine …

From its very beginning, the potential of extracting valuable knowledge from the Web has
been quite evident. Web mining, ie the application of data mining techniques to extract …