Knowledge Graphs and Big Data Processing (Record no. 48983)

MARC details
000 -LEADER
fixed length control field 02349nam a2200313Ia 4500
000 - LEADER
fixed length control field 04153naaa 00817uu
001 - CONTROL NUMBER
control field https://directory.doabooks.org/handle/20.500.12854/28210
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20211222135724.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 211013s9999 xx 000 0 und d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 978-3-030-53199-7
024 ## - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-030-53199-7
042 ## - AUTHENTICATION CODE
Authentication code dc
245 #0 - TITLE STATEMENT
Title Knowledge Graphs and Big Data Processing
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. Springer Nature
Date of publication, distribution, etc. 2020
300 ## - PHYSICAL DESCRIPTION
Extent 1 electronic resource (209 p.)
506 ## - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open Access
520 ## - SUMMARY, ETC.
Summary, etc. This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others. The goal of this book is to introduce some of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and knowledge representation, via knowledge processing and analytics to visualization, sense-making, and practical applications. Each chapter in this book addresses some pertinent aspect of the data processing chain, with a specific focus on understanding Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions. This book is addressed to graduate students from technical disciplines, to professional audiences following continuous education short courses, and to researchers from diverse areas following self-study courses. Basic skills in computer science, mathematics, and statistics are required.
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE
Terms governing use and reproduction Creative Commons
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Database Management
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Graux, Damien
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Jabeen, Hajira
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Janev, Valentina
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Janev, Valentina
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Sallinger, Emanuel
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://directory.doabooks.org/handle/20.500.12854/28210">https://directory.doabooks.org/handle/20.500.12854/28210</a>
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://library.oapen.org/bitstream/20.500.12657/41294/1/2020_Book_KnowledgeGraphsAndBigDataProce.pdf">https://library.oapen.org/bitstream/20.500.12657/41294/1/2020_Book_KnowledgeGraphsAndBigDataProce.pdf</a>
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="www.oapen.org">www.oapen.org</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type E-Book
Holdings
Withdrawn status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total Checkouts Date last seen Price effective from Koha item type
  Library of Congress Classification   Not For Loan Directory of Open Access Books Directory of Open Access Books 12/22/2021   12/22/2021 12/22/2021 E-Book

University of Rizal System
Email us at univlibservices@urs.edu.ph

Visit our Website www.urs.edu.ph/library

Powered by Koha