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Operators for Similarity Search - Semantics, Techniques and Usage Scenarios (Paperback, 1st ed. 2015) Loot Price: R1,863
Discovery Miles 18 630
Operators for Similarity Search - Semantics, Techniques and Usage Scenarios (Paperback, 1st ed. 2015): Deepak P, Prasad M....

Operators for Similarity Search - Semantics, Techniques and Usage Scenarios (Paperback, 1st ed. 2015)

Deepak P, Prasad M. Deshpande

Series: SpringerBriefs in Computer Science

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Loot Price R1,863 Discovery Miles 18 630 | Repayment Terms: R175 pm x 12*

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This book provides a comprehensive tutorial on similarity operators. The authors systematically survey the set of similarity operators, primarily focusing on their semantics, while also touching upon mechanisms for processing them effectively. The book starts off by providing introductory material on similarity search systems, highlighting the central role of similarity operators in such systems. This is followed by a systematic categorized overview of the variety of similarity operators that have been proposed in literature over the last two decades, including advanced operators such as RkNN, Reverse k-Ranks, Skyline k-Groups and K-N-Match. Since indexing is a core technology in the practical implementation of similarity operators, various indexing mechanisms are summarized. Finally, current research challenges are outlined, so as to enable interested readers to identify potential directions for future investigations. In summary, this book offers a comprehensive overview of the field of similarity search operators, allowing readers to understand the area of similarity operators as it stands today, and in addition providing them with the background needed to understand recent novel approaches.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: SpringerBriefs in Computer Science
Release date: July 2015
First published: 2015
Authors: Deepak P • Prasad M. Deshpande
Dimensions: 235 x 155 x 7mm (L x W x T)
Format: Paperback
Pages: 115
Edition: 1st ed. 2015
ISBN-13: 978-3-319-21256-2
Categories: Books > Science & Mathematics > Mathematics > General
Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-319-21256-7
Barcode: 9783319212562

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