Integrating Information Retrieval Artificial by Hodge Victoria (9 results)

Condition: New.

Paperback. Condition: Brand New. 212 pages. 8.66x5.91x0.48 inches. In Stock.

Paperback. Condition: Brand New. 212 pages. 8.66x5.91x0.48 inches. In Stock.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Information Retrieval (IR) is a field of computer science investigating the automated storage and retrieval of information, particularly documents. The amount of stored information has expanded rapidly and now, vast repositories of information on almost every conceivable subject are available to be searched. Effective IR involves: understanding the needs of users; handling the vagaries and ambiguities of language and human errors; and developing an efficient and accurate storage and search system. This book provides an analysis of IR techniques and systems assessing their strengths and weaknesses. This analysis then provides the motivation for the proposed system of three integrated modules: a novel spell checker based on a binary neural network; a thesaurus generated from a dynamic growing neural network; and, an efficient word-to-document index. The book provides a detailed description of the implementation and evaluation of the proposed system. The IR analyses and system development should be useful to advanced undergraduate and postgraduate computer and library/information science students and researchers analysing and developing IR systems. 212 pp. Englisch.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Hodge VictoriaDr Victoria J. Hodge: studied for B.Sc. and Ph.D. in Computer Science at University of York, UK. Research Associate in the Advanced Computer Architectures Group, Department of Computer Science, University of York, UK.

Condition: New. Print on Demand.

Condition: New. PRINT ON DEMAND.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Information Retrieval (IR) is a field of computer science investigating the automated storage and retrieval of information, particularly documents. The amount of stored information has expanded rapidly and now, vast repositories of information on almost every conceivable subject are available to be searched. Effective IR involves: understanding the needs of users; handling the vagaries and ambiguities of language and human errors; and developing an efficient and accurate storage and search system. This book provides an analysis of IR techniques and systems assessing their strengths and weaknesses. This analysis then provides the motivation for the proposed system of three integrated modules: a novel spell checker based on a binary neural network; a thesaurus generated from a dynamic growing neural network; and, an efficient word-to-document index. The book provides a detailed description of the implementation and evaluation of the proposed system. The IR analyses and system development should be useful to advanced undergraduate and postgraduate computer and library/information science students and researchers analysing and developing IR systems.Books on Demand GmbH, Überseering 33, 22297 Hamburg 212 pp. Englisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Information Retrieval (IR) is a field of computer science investigating the automated storage and retrieval of information, particularly documents. The amount of stored information has expanded rapidly and now, vast repositories of information on almost every conceivable subject are available to be searched. Effective IR involves: understanding the needs of users; handling the vagaries and ambiguities of language and human errors; and developing an efficient and accurate storage and search system. This book provides an analysis of IR techniques and systems assessing their strengths and weaknesses. This analysis then provides the motivation for the proposed system of three integrated modules: a novel spell checker based on a binary neural network; a thesaurus generated from a dynamic growing neural network; and, an efficient word-to-document index. The book provides a detailed description of the implementation and evaluation of the proposed system. The IR analyses and system development should be useful to advanced undergraduate and postgraduate computer and library/information science students and researchers analysing and developing IR systems.