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Shengli Wu

Adaptation, Learning, and Optimization Data Fusion in Information Retrieval, Book 13, (Hardcover)

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Key item features

Adaptation, Learning, and Optimization Data Fusion in Information Retrieval, Book 13, (Hardcover)
Author: Springer
ISBN: 9783642288654
Format: Hardcover
Publication Date: 2012-04-07
Page Count: 228

Specs

Book format
Hardcover
Fiction/nonfiction
Non-Fiction
Genre
Computing & Internet
Publication date
April, 2012
Pages
228
Subgenre
Artificial Intelligence

Current price is $133.54

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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?

Adaptation, Learning, and Optimization Data Fusion in Information Retrieval, Book 13, (Hardcover)
Author: Springer
ISBN: 9783642288654
Format: Hardcover
Publication Date: 2012-04-07
Page Count: 228

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Specifications

Book format

Hardcover

Fiction/nonfiction

Non-Fiction

Genre

Computing & Internet

Publication date

April, 2012

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