MARC details
000 -LIDER |
fixed length control field |
03782nam a22005775i 4500 |
001 - CONTROL NUMBER |
control field |
978-3-031-33560-0 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
DE-He213 |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20240207153524.0 |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
fixed length control field |
cr nn 008mamaa |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
230727s2023 sz | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9783031335600 |
-- |
978-3-031-33560-0 |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
TA345-345.5 |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
UN |
Source |
bicssc |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
COM018000 |
Source |
bisacsh |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
UN |
Source |
thema |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
620.00285 |
Edition number |
23 |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Nayak, Richi. |
Relator term |
author. |
Authority record control number |
(orcid)0000-0002-9954-0159 |
-- |
https://orcid.org/0000-0002-9954-0159 |
Relator code |
aut |
-- |
http://id.loc.gov/vocabulary/relators/aut |
245 10 - TITLE STATEMENT |
Title |
Multi-aspect Learning |
Medium |
[electronic resource] : |
Remainder of title |
Methods and Applications / |
Statement of responsibility, etc. |
by Richi Nayak, Khanh Luong. |
250 ## - EDITION STATEMENT |
Edition statement |
1st ed. 2023. |
264 #1 - |
-- |
Cham : |
-- |
Springer International Publishing : |
-- |
Imprint: Springer, |
-- |
2023. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
VIII, 184 p. 71 illus., 70 illus. in color. |
Other physical details |
online resource. |
336 ## - |
-- |
text |
-- |
txt |
-- |
rdacontent |
337 ## - |
-- |
computer |
-- |
c |
-- |
rdamedia |
338 ## - |
-- |
online resource |
-- |
cr |
-- |
rdacarrier |
347 ## - |
-- |
text file |
-- |
PDF |
-- |
rda |
490 1# - SERIES STATEMENT |
Series statement |
Intelligent Systems Reference Library, |
International Standard Serial Number |
1868-4408 ; |
Volume/sequential designation |
242 |
500 ## - GENERAL NOTE |
General note |
Acceso multiusuario |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
1 Multi-Aspect Data Learning: Overview, Challenges and Approaches -- 2 Non-negative Matrix Factorization-Based Multi-Aspect Data Clustering -- 3 NMF and Manifold Learning for Multi-Aspect Data -- 4 Subspace Learning for Multi-Aspect Data -- 5 Spectral Clustering on Multi-Aspect Data -- 6 Learning Consensus and Complementary Information for Multi-Aspect Data Clustering -- 7 Deep Learning-Based Methods for Multi-Aspect Data Clustering. |
520 ## - SUMMARY, ETC. |
Summary, etc. |
This book offers a detailed and comprehensive analysis of multi-aspect data learning, focusing especially on representation learning approaches for unsupervised machine learning. It covers state-of-the-art representation learning techniques for clustering and their applications in various domains. This is the first book to systematically review multi-aspect data learning, incorporating a range of concepts and applications. Additionally, it is the first to comprehensively investigate manifold learning for dimensionality reduction in multi-view data learning. The book presents the latest advances in matrix factorization, subspace clustering, spectral clustering and deep learning methods, with a particular emphasis on the challenges and characteristics of multi-aspect data. Each chapter includes a thorough discussion of state-of-the-art of multi-aspect data learning methods and important research gaps. The book provides readers with the necessary foundational knowledge to apply these methods to new domains and applications, as well as inspire new research in this emerging field. |
541 ## - IMMEDIATE SOURCE OF ACQUISITION NOTE |
Owner |
UABC ; |
Method of acquisition |
Perpetuidad |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Engineering |
Subdivisión general |
Data processing. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Computational intelligence. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Machine learning. |
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Data Engineering. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Computational Intelligence. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Machine Learning. |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Luong, Khanh. |
Relator term |
author. |
Relator code |
aut |
-- |
http://id.loc.gov/vocabulary/relators/aut |
710 2# - ADDED ENTRY--CORPORATE NAME |
Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
773 0# - HOST ITEM ENTRY |
Title |
Springer Nature eBook |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Relationship information |
Printed edition: |
International Standard Book Number |
9783031335594 |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Relationship information |
Printed edition: |
International Standard Book Number |
9783031335617 |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Relationship information |
Printed edition: |
International Standard Book Number |
9783031335624 |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
Uniform title |
Intelligent Systems Reference Library, |
-- |
1868-4408 ; |
Volume number/sequential designation |
242 |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Public note |
Libro electrónico |
Uniform Resource Identifier |
http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-33560-0 |
912 ## - |
-- |
ZDB-2-INR |
912 ## - |
-- |
ZDB-2-SXIT |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Koha item type |
Libro Electrónico |