Data Fusion in Information Retrieval

Data Fusion in Information Retrieval by Shengli Wu.

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...

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Bibliographic Details
Main Author: Wu, Shengli (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
Edition:1st ed. 2012.
Series:Adaptation, Learning, and Optimization, 13
Springer eBook Collection.
Subjects:
Computational intelligence.
Artificial intelligence.
Data mining.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Introduction
  • Evaluation of Retrieval Results
  • Score Normalization
  • Observations and Analyses
  • The Linear Combination Method
  • A Geometric Framework for Data Fusion
  • Ranking-Based Fusion
  • Fusing Results from Overlapping Databases
  • Application of the Data Fusion Technique.

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