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Shengli Wu - Data Fusion in Information Retrieval - 9783642448010 - V9783642448010
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Data Fusion in Information Retrieval

€ 180.42
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Description for Data Fusion in Information Retrieval Paperback. This book offers a theoretical and empirical approach to data fusion, used in information retrieval in complex, diverse settings such as web and social networks, legal, enterprise and others. Discusses, analyzes and ealuates typical data fusion algorithms. Series: Adaptation, Learning, and Optimization. Num Pages: 240 pages, biography. BIC Classification: UNF; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 13. Weight in Grams: 373.

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 ... Read more

          How can the best fusion option be found under any given circumstances?

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Product Details

Format
Paperback
Publication date
2014
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
240
Condition
New
Series
Adaptation, Learning, and Optimization
Number of Pages
228
Place of Publication
Berlin, Germany
ISBN
9783642448010
SKU
V9783642448010
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Data Fusion in Information Retrieval
From the reviews: “This book is … the result of a 10-year long engagement in data fusion within the context of various research projects. … The book is written in a very concise and dense manner, which makes it … readable for the expert, in particular the one with a good mathematical background. It contains a lot of evaluation ... Read more

Goodreads reviews for Data Fusion in Information Retrieval


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