Information Retrieval Performance Refinement by Khnadelwal Brijesh (6 results)

Paperback. Condition: Brand New. 144 pages. 8.66x5.91x0.33 inches. In Stock.

Taschenbuch. Condition: Neu. Information Retrieval Performance Refinement in Deep Web Mining | Brijesh Khnadelwal (u. a.) | Taschenbuch | 144 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786139472956 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This research book is carried to response to research problem titled 'Study of Information Retrieval Performance Refinement in Deep Web Mining'. To facilitate effective access to the deep web, whereas the crawl-and-index techniques often used in widespread search engines now a days have been quite fruitful for the surface web, such an retrieval model might not be appropriate for the deep web. At the outset, crawling will expected face the limit of coverage that seems inherent because of the unseen likely and dynamic nature of web databases. Furthermore, indexing of the crawled data can face the barrier of mechanical heterogeneity across the range of deep web information. 144 pp. Englisch.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Khnadelwal BrijeshDr. Brijesh Khandelwal is working as Associate Professor and Head of Department of Computer Science at Amity School of Engineering and Technology, Amity University Chhattisgarh, Raipur. Dr. Khandelwal has rich & div.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This research book is carried to response to research problem titled ¿Study of Information Retrieval Performance Refinement in Deep Web Mining¿. To facilitate effective access to the deep web, whereas the crawl-and-index techniques often used in widespread search engines now a days have been quite fruitful for the surface web, such an retrieval model might not be appropriate for the deep web. At the outset, crawling will expected face the limit of coverage that seems inherent because of the unseen likely and dynamic nature of web databases. Furthermore, indexing of the crawled data can face the barrier of mechanical heterogeneity across the range of deep web information.Books on Demand GmbH, Überseering 33, 22297 Hamburg 144 pp. Englisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This research book is carried to response to research problem titled 'Study of Information Retrieval Performance Refinement in Deep Web Mining'. To facilitate effective access to the deep web, whereas the crawl-and-index techniques often used in widespread search engines now a days have been quite fruitful for the surface web, such an retrieval model might not be appropriate for the deep web. At the outset, crawling will expected face the limit of coverage that seems inherent because of the unseen likely and dynamic nature of web databases. Furthermore, indexing of the crawled data can face the barrier of mechanical heterogeneity across the range of deep web information.