Abstract The MCRDR (Multiple Classification Ripple-Down Rules) Classifier was developed
to classify documents incrementally. A knowledge base of MCRDR-Classifier consists of two …

This paper focuses on real world Web document classification problem. Real world Web
documents classification has different problems compare to experimental based …

The ongoing struggle of information retrieval systems is to present users with information
that most relevant user needs. So, IR researchers have begun to expand their efforts to …

Queries submitted by users to search engines might be ambiguous, concise and their
meaning may change over time. Web query classification is emphasized by various search …

As the wealth of online information is increasing tremendously, the need for question-
answering systems is evident. Current search engines return ranked lists of documents to …

This paper focuses on the development of a maintainable information filtering system. The
simple and efficient solution to this problem is to block the Web sites by URL, including IP …

In this paper, a data mining approach for query refinement is proposed using Association
Rules (ARs) among keywords being extracted from a document database. When a query is …

This paper focuses on the information management systems of the dynamic World Wide
Web. Many individual web pages, such as news portals, provide periodic information and …

In general, document classification research focuses on the automated placement of unseen
documents into pre-defined categories. This is regarded as one core technical component of …

Queries entered in a search box are the results of users' activities to actively seek
information. Therefore, search logs are important data which represent users' information …