Data Fusion in Information Retrieval
Author:   Shengli Wu
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2012 ed.
Volume:   13
ISBN:  

9783642448010


Pages:   228
Publication Date:   09 May 2014
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Data Fusion in Information Retrieval


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Full Product Details

Author:   Shengli Wu
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2012 ed.
Volume:   13
Dimensions:   Width: 15.50cm , Height: 1.30cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9783642448010


ISBN 10:   3642448011
Pages:   228
Publication Date:   09 May 2014
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Reviews

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 results that help compare the various fusion methods presented, which is helpful for the practitioner. It also gives a good overview ... of applications of data fusion. (Gottfried Vossen, Zentralblatt MATH, Vol. 1246, 2012)


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 results that help compare the various fusion methods presented, which is helpful for the practitioner. It also gives a good overview ... of applications of data fusion. (Gottfried Vossen, Zentralblatt MATH, Vol. 1246, 2012)


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