Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/24690
Title: Optimizing knowledge discovery over the WWW
Authors: Montebello, Matthew
Keywords: Web search engines
Web usage mining
Web sites
Social networks -- Data processing
Issue Date: 1998
Publisher: Springer, Berlin, Heidelberg
Citation: Montebello, M. (1998). Optimizing knowledge discovery over the WWW. In W. Litwin, T. Morzy & G. Vossen (Eds.), Lecture notes in computer science, vol 1475 : advances in databases and information systems (pp.272-277). Berlin, Heidelberg: Springer.
Series/Report no.: Lecture notes in computer science;1475
Abstract: The rapid growth in data volume, user base, and data diversity render Internet-accessible information increasingly difficult to be used effectively. In this paper we discuss the issues involved with knowledge discovery in knowledge bases, in particular the WWW, by presenting a general architecture and describing how it has been instantiated in a functional system we developed. The system attempts to concurrently maximize and optimize the resource/knowledge discovery, and custimize the information to individual users. A number of machine learning techniques have been employed in the development of the system for comparative reasons — results are presented and discussed.
URI: https://www.um.edu.mt/library/oar//handle/123456789/24690
ISBN: 3540649247
Appears in Collections:Scholarly Works - FacICTAI

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