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Operators for Similarity Search

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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.

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Availability

No copy data

Detail Information

Series Title

SpringerBriefs in Computer Science

Call Number

-

Publisher

Switzerland : Springer Cham., 2015

Collation

XI, 115

Language

English

ISBN/ISSN

2191-5768

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

1

Subject(s)

Artificial Intelligence
Data Mining and Knowledge Discovery
Information Storage and Retrieval
Discrete Mathematics in Computer Science

Specific Detail Info

-

Statement of Responsibility

Deepak P

Other Information

Cataloger

Lika

Source

-

Validator

Taufik

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