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Visualization for information retrieval
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Visualization for information retrieval

Author: Jin Zhang, Ph. D.
Publisher: Berlin ; New York : Springer, ©2007.
Series: Information retrieval series, v. 23.
Edition/Format:   Book : EnglishView all editions and formats
Summary:
Information visualization offers a way to reveal hidden patterns in a visual presentation and allows users to seek information from a visual perspective. Readers of this book will gain an in-depth understanding of the current state of information retrieval visualization. They will be introduced to existing problems along with technical and theoretical findings. The book also provides practical details for the  Read more...
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Details

Document Type: Book
All Authors / Contributors: Jin Zhang, Ph. D.
ISBN: 9783540751472 3540751475
OCLC Number: 173239487
Description: xvii, 292 p. : ill. ; 24 cm.
Contents: Information retrieval and visualization --
Information retrieval preliminaries --
Visualization models for multiple reference points --
Euclidean spatial characteristic based visualization models --
Kohonen self-organizing map: An artificial neural network --
Pathfinder associative network --
Multidimensional scaling --
Internet information visualization --
Ambiguity in information visualization --
The implication of metaphors in information visualization --
Benchmarks and evaluation criteria for information retrieval visualization --
Afterthoughts.
Series Title: Information retrieval series, v. 23.
Responsibility: Jin Zhang ; foreword by Edie Rasmussen.

Abstract:

Offers an explanation of the advancements in information retrieval visualization. This work reviews the main approaches and techniques available in the field, explains theoretical relationships  Read more...

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From the reviews: "This book is another in the Springer information retrieval series, aimed at the academic market. ! Zhang provides a guide across the field of visualisation that is comprehensive, Read more...

 
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