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Titlebook: Operators for Similarity Search; Semantics, Technique Deepak P,Prasad M. Deshpande Book 2015 The Editor(s) (if applicable) and The Author(s

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書(shū)目名稱Operators for Similarity Search
副標(biāo)題Semantics, Technique
編輯Deepak P,Prasad M. Deshpande
視頻videohttp://file.papertrans.cn/703/702362/702362.mp4
概述Introduces the field of similarity operators starting from the fundamentals of similarity search systems.Details the various similarity operators that have been proposed so far, in a structured manner
叢書(shū)名稱SpringerBriefs in Computer Science
圖書(shū)封面Titlebook: Operators for Similarity Search; Semantics, Technique Deepak P,Prasad M. Deshpande Book 2015 The Editor(s) (if applicable) and The Author(s
描述.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 nov
出版日期Book 2015
關(guān)鍵詞Information Retrieval; Query Processing; Retrieval Models; Retrieval Ranking; Similarity Measures; Web Se
版次1
doihttps://doi.org/10.1007/978-3-319-21257-9
isbn_softcover978-3-319-21256-2
isbn_ebook978-3-319-21257-9Series ISSN 2191-5768 Series E-ISSN 2191-5776
issn_series 2191-5768
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Introduction,iciency-oriented view as used in typical database literature. We illustrate that the full-specification of a similarity search system involves the schema definition as well as details pertaining to the phases of pair-wise similarity estimation and result set identification. We will see how variation
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Categorizing Operators,ication puts operators in one of two classes based on whether it produces . or . result sets, whereas the second considers the usage of attributes in the operator-specific similarity representations for an object. We consider the implications of each of these choices and give examples of operators t
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Advanced Operators for Similarity Search,ne-and-a-half decades. We consider various advanced operators for similarity search under three heads, (a) those that build upon the weighted sum operation, (b) operators that enhance the basic skyline operator and (c) other modes of similarity search not already covered under the first two heads. W
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