Information Retrieval Performance Refinement in Deep Web Mining

Brijesh Khnadelwal

ISBN 10: 6139472954 / ISBN 13: 9786139472956

Published by LAP LAMBERT Academic Publishing Apr 2019, 2019

About this Item

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.

Seller Inventory # 9786139472956

Bibliographic Details

• Title: Information Retrieval Performance Refinement in Deep Web Mining
• Publisher: LAP LAMBERT Academic Publishing Apr 2019
• Publication Date: 2019
• Language: English
• ISBN 10: 6139472954
• ISBN 13: 9786139472956
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 10D millimeters 220 millimeters width by 150 millimeters height by 10 millimeters depth
• Weight: 233 grams

About this title

Synopsis

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.