東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Linked to FindBook

Google Book

Amazon

博客來

Foundations of vector retrieval

Record Type:	Electronic resources : Monograph/item
Title/Author:	Foundations of vector retrieval/ by Sebastian Bruch.
Author:	Bruch, Sebastian.
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	xx, 185 p. :ill., digital ;24 cm.
[NT 15003449]:	Preface -- Part I Introduction -- Part II Retrieval Algorithms -- Part III Compression -- Part IV Appendices.
Contained By:	Springer Nature eBook
Subject:	Information retrieval. -
Online resource:	https://doi.org/10.1007/978-3-031-55182-6
ISBN:	9783031551826

Foundations of vector retrieval
Bruch, Sebastian.

Foundations of vector retrieval[electronic resource] /by Sebastian Bruch. - Cham :Springer Nature Switzerland :2024. - xx, 185 p. :ill., digital ;24 cm.

Preface -- Part I Introduction -- Part II Retrieval Algorithms -- Part III Compression -- Part IV Appendices.

This book presents the fundamentals of vector retrieval. To this end, it delves into important data structures and algorithms that have been successfully used to solve the vector retrieval problem efficiently and effectively. This monograph is divided into four parts. The first part introduces the problem of vector retrieval and formalizes the concepts involved. The second part delves into retrieval algorithms that help solve the vector retrieval problem efficiently and effectively. It includes a chapter each on brand-and-bound algorithms, locality sensitive hashing, graph algorithms, clustering, and sampling. Part three is devoted to vector compression and comprises chapters on quantization and sketching. Finally, the fourth part presents a review of background material in a series of appendices, summarizing relevant concepts from probability, concentration inequalities, and linear algebra. The book emphasizes the theoretical aspects of algorithms and presents related theorems and proofs. It is thus mainly written for researchers and graduate students in theoretical computer science and database and information systems who want to learn about the theoretical foundations of vector retrieval.

ISBN: 9783031551826

Standard No.: 10.1007/978-3-031-55182-6doiSubjects--Topical Terms:

566853
Information retrieval.

LC Class. No.: ZA3075

Dewey Class. No.: 025.04

Foundations of vector retrieval
LDR:02311nmm a2200349 a 4500 001 2369707
003 DE-He213
005 20240329052308.0
006 m d
007 cr nn 008maaau
008 241127s2024 sz s 0 eng d
020 $a 9783031551826 $q (electronic bk.)
020 $a 9783031551819 $q (paper)
024 7 $a 10.1007/978-3-031-55182-6 $2 doi
035 $a 978-3-031-55182-6
040 $a GP $c GP
041 0 $a eng
050 4 $a ZA3075
072 7 $a UNH $2 bicssc
072 7 $a UND $2 bicssc
072 7 $a COM030000 $2 bisacsh
072 7 $a UNH $2 thema
072 7 $a UND $2 thema
082 0 4 $a 025.04 $2 23
090 $a ZA3075 $b .B887 2024
100 1 $a Bruch, Sebastian. $3 3714533
245 1 0 $a Foundations of vector retrieval $h [electronic resource] / $c by Sebastian Bruch.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2024.
300 $a xx, 185 p. : $b ill., digital ; $c 24 cm.
505 0 $a Preface -- Part I Introduction -- Part II Retrieval Algorithms -- Part III Compression -- Part IV Appendices.
520 $a This book presents the fundamentals of vector retrieval. To this end, it delves into important data structures and algorithms that have been successfully used to solve the vector retrieval problem efficiently and effectively. This monograph is divided into four parts. The first part introduces the problem of vector retrieval and formalizes the concepts involved. The second part delves into retrieval algorithms that help solve the vector retrieval problem efficiently and effectively. It includes a chapter each on brand-and-bound algorithms, locality sensitive hashing, graph algorithms, clustering, and sampling. Part three is devoted to vector compression and comprises chapters on quantization and sketching. Finally, the fourth part presents a review of background material in a series of appendices, summarizing relevant concepts from probability, concentration inequalities, and linear algebra. The book emphasizes the theoretical aspects of algorithms and presents related theorems and proofs. It is thus mainly written for researchers and graduate students in theoretical computer science and database and information systems who want to learn about the theoretical foundations of vector retrieval.
650 0 $a Information retrieval. $3 566853
650 0 $a Vector analysis. $3 524909
650 1 4 $a Information Storage and Retrieval. $3 761906
650 2 4 $a Mathematics of Computing. $3 891213
650 2 4 $a Mathematical Applications in Computer Science. $3 1567978
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-55182-6
950 $a Computer Science (SpringerNature-11645)