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Books > Computing & IT > Applications of computing > Artificial intelligence
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Operators for Similarity Search - Semantics, Techniques and Usage Scenarios (Paperback, 1st ed. 2015)
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Operators for Similarity Search - Semantics, Techniques and Usage Scenarios (Paperback, 1st ed. 2015)
Series: SpringerBriefs in Computer Science
Expected to ship within 10 - 15 working days
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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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