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    Original Essays | July 14, 2015

    Joshua Mohr: IMG Your Imagination, Your Fingerprint



    When I was in grad school, a teacher told our workshop that if a published novel is 300 pages, the writer had to generate 1,200 along the way. I... Continue »
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      All This Life

      Joshua Mohr 9781593766030

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25 Remote Warehouse Database- Design

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Similarity Search

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Similarity Search Cover

 

Synopses & Reviews

Publisher Comments:

In the Information Society, information holds the master key to economic influence.  Similarity Search: The Metric Space Approach will focus on efficient ways to locate user-relevant information in collections of objects, the similarity of which is quantified using a pairwise distance measure. This book is a direct response to recent advances in computing, communications and storage which have led to the current flood of digital libraries, data warehouses and the limitless heterogeneity of internet resources. Similarity Search: The Metric Space Approach will introduce state-of-the-art in developing index structures for searching complex data modeled as instances of a metric space. This book consists of two parts. Part 1 presents the metric search approach in a nutshell by defining the problem, describes major theoretical principals, and provides an extensive survey of specific techniques for a large range of applications. Part 2 concentrates on approaches particularly designed for searching in very large collections of data. Similarity Search: The Metric Space Approach is designed for a professional audience, composed of academic researchers as well as practitioners in industry. This book is also suitable as introductory material for graduate-level students in computer science.

Synopsis:

The proliferation of information housed in computerized domains makes it vital to find tools to search these resources efficiently and effectively. Ordinary retrieval techniques are inadequate because sorting is simply impossible. Consequently, proximity searching has become a fundamental computation task in a variety of application areas.

Similarity Search focuses on the state of the art in developing index structures for searching the metric space. Part I of the text describes major theoretical principles, and provides an extensive survey of specific techniques for a large range of applications. Part II concentrates on approaches particularly designed for searching in large collections of data. After describing the most popular centralized disk-based metric indexes, approximation techniques are presented as a way to significantly speed up search time at the cost of some imprecision in query results. Finally, the scalable and distributed metric structures are discussed.

Synopsis:

The proliferation of information housed in computerized domains makes it vital to find tools to search these resources efficiently and effectively. Ordinary retrieval techniques are inadequate because sorting is simply impossible. Consequently, proximity searching has become a fundamental computation task in a variety of application areas. Similarity Search focuses on the state of the art in developing index structures for searching the metric space. Part I of the text describes major theoretical principles, and provides an extensive survey of specific techniques for a large range of applications. Part II concentrates on approaches particularly designed for searching in large collections of data. After describing the most popular centralized disk-based metric indexes, approximation techniques are presented as a way to significantly speed up search time at the cost of some imprecision in query results. Finally, the scalable and distributed metric structures are discussed.

Table of Contents

Dedication.- Foreword.- Preface.- Acknowledgements.- Part I Metric Searching in a Nutshell: Foundations of Metric Space Searching.- Survey of Existing Approaches.- Part II Metric Searching in Large Collections of Data: Centralized Index Structures.- Approximate Similarity Search.- Parallel and Distributed Indexes.- References.- Author Index.- Index.- Abbreviations.

Product Details

ISBN:
9780387291468
Author:
Zezula, Pavel
Publisher:
Springer
Author:
Batko, Michal
Author:
Amato, Giuseppe
Author:
Dohnal, Vlastislav
Subject:
Computer Science
Subject:
Database Management - General
Subject:
Information Storage & Retrieval
Subject:
Database searching
Subject:
Computer algorithms
Subject:
System Administration - Storage & Retrieval
Subject:
Data mining
Subject:
Database management
Subject:
Data Storage Representation
Subject:
Data structures
Subject:
Information storage and retrieval.
Subject:
Files
Subject:
Files <P>Contains extensive survey, and considers index structures ranging from main memory based to scalable and distributed implementations exploiting parallelism <P></P>Comprehensive and detailed presentation of theory, techniques and their implementat
Subject:
Database design
Copyright:
Edition Number:
1
Edition Description:
Book
Series:
Advances in Database Systems
Series Volume:
32
Publication Date:
November 2005
Binding:
HARDCOVER
Language:
English
Illustrations:
Y
Pages:
237
Dimensions:
235 x 155 mm 1140 gr

Related Subjects

Computers and Internet » Computers Reference » General
Computers and Internet » Database » Design
Computers and Internet » Internet » Information
Computers and Internet » Personal Computers » General
Computers and Internet » Software Engineering » Software Management
History and Social Science » Sociology » General

Similarity Search New Hardcover
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$219.75 In Stock
Product details 237 pages Springer - English 9780387291468 Reviews:
"Synopsis" by , The proliferation of information housed in computerized domains makes it vital to find tools to search these resources efficiently and effectively. Ordinary retrieval techniques are inadequate because sorting is simply impossible. Consequently, proximity searching has become a fundamental computation task in a variety of application areas.

Similarity Search focuses on the state of the art in developing index structures for searching the metric space. Part I of the text describes major theoretical principles, and provides an extensive survey of specific techniques for a large range of applications. Part II concentrates on approaches particularly designed for searching in large collections of data. After describing the most popular centralized disk-based metric indexes, approximation techniques are presented as a way to significantly speed up search time at the cost of some imprecision in query results. Finally, the scalable and distributed metric structures are discussed.

"Synopsis" by , The proliferation of information housed in computerized domains makes it vital to find tools to search these resources efficiently and effectively. Ordinary retrieval techniques are inadequate because sorting is simply impossible. Consequently, proximity searching has become a fundamental computation task in a variety of application areas. Similarity Search focuses on the state of the art in developing index structures for searching the metric space. Part I of the text describes major theoretical principles, and provides an extensive survey of specific techniques for a large range of applications. Part II concentrates on approaches particularly designed for searching in large collections of data. After describing the most popular centralized disk-based metric indexes, approximation techniques are presented as a way to significantly speed up search time at the cost of some imprecision in query results. Finally, the scalable and distributed metric structures are discussed.
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