Data Fusion in Information Retrieval book
Data Fusion in Information Retrieval book
Data Fusion in Information Retrieval.cShengli Wu
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Author: Shengli Wu
Page Count: 240 pages
Published Date: 09 May 2014
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Publication Country: Berlin, Germany
Language: English
ISBN: 9783642448010
Download Link: Data Fusion in Information Retrieval
---------------------------------------------------------------
The technique of data fusion has been used extensively in information retrieval due to the complexity and diversity of tasks involved such as web and social networks, legal, enterprise, and many others. This book presents both a theoretical and empirical approach to data fusion. Several typical data fusion algorithms are discussed, analyzed and evaluated. A reader will find answers to the following questions, among others: What are the key factors that affect the performance of data fusion algorithms significantly? What conditions are favorable to data fusion algorithms? CombSum and CombMNZ, which one is better? and why? What is the rationale of using the linear combination method? How can the best fusion option be found under any given circumstances?
Read online Data Fusion in Information Retrieval Buy Data Fusion in Information Retrieval Download Data Fusion in Information Retrieval ebook, pdf, djvu, epub, mobi, fb2, zip, rar, torrent Download to iPad/iPhone/iOS, B&N nook Data Fusion in Information Retrieval
Download pdf Waterloo : 200 jaar strijd
Cultural Validity in Assessment : Addressing Linguistic and Cultural Diversity
Data Fusion in Information Retrieval.cShengli Wu
Author: Shengli Wu
Page Count: 240 pages
Published Date: 09 May 2014
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Publication Country: Berlin, Germany
Language: English
ISBN: 9783642448010
Download Link: Data Fusion in Information Retrieval
---------------------------------------------------------------
The technique of data fusion has been used extensively in information retrieval due to the complexity and diversity of tasks involved such as web and social networks, legal, enterprise, and many others. This book presents both a theoretical and empirical approach to data fusion. Several typical data fusion algorithms are discussed, analyzed and evaluated. A reader will find answers to the following questions, among others: What are the key factors that affect the performance of data fusion algorithms significantly? What conditions are favorable to data fusion algorithms? CombSum and CombMNZ, which one is better? and why? What is the rationale of using the linear combination method? How can the best fusion option be found under any given circumstances?
Read online Data Fusion in Information Retrieval Buy Data Fusion in Information Retrieval Download Data Fusion in Information Retrieval ebook, pdf, djvu, epub, mobi, fb2, zip, rar, torrent Download to iPad/iPhone/iOS, B&N nook Data Fusion in Information Retrieval
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Cultural Validity in Assessment : Addressing Linguistic and Cultural Diversity