Knowledge Engineering for Modern Information Systems : (Record no. 84483)

000 -LEADER
fixed length control field 09342nam a22012135i 4500
001 - CONTROL NUMBER
control field 9783110713633
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730161616.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230529t20222022gw fo d z eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783110713633
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title
245 00 - TITLE STATEMENT
Title Knowledge Engineering for Modern Information Systems :
Sub Title Methods, Models and Tools /
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 online resource (VI, 232 p.)
490 0# - SERIES STATEMENT
Series statement Smart Computing Applications ,
520 ## - SUMMARY, ETC.
Summary, etc Knowledge Engineering (KE) is a fi eld within artifi cial intelligence that develops knowledgebased systems. KE is the process of imitating how a human expert in a specifi c domain would act and take decisions. It contains large amounts of knowledge, like metadata and information about a data object that describes characteristics such as content, quality, and format, structure and processes. Such systems are computer programs that are the basis of how a decision is made or a conclusion is reached. It is having all the rules and reasoning mechanisms to provide solutions to real-world problems. This book presents an extensive collection of the recent fi ndings and innovative research in the information system and KE domain. Highlighting the challenges and diffi culties in implementing these approaches, this book is a critical reference source for academicians, professionals, engineers, technology designers, analysts, undergraduate and postgraduate students in computing science and related disciplines such as Information systems, Knowledge Engineering, Intelligent Systems, Artifi cial Intelligence, Cognitive Neuro - science, and Robotics. In addition, anyone who is interested or involved in sophisticated information systems and knowledge engineering developments will fi nd this book a valuable source of ideas and guidance.
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Author 2 Adegoke, Kudirat Abiola,
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Author 2 Agrawal, Prateek,
700 1# - AUTHOR 2
Author 2 Agrawal, Prateek,
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Author 2 Bhanot, Neeraj,
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Author 2 Bhavsar, Ram,
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Author 2 Bhavsar, Virendrakumar C.,
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Author 2 Bitagi, Mohamed,
700 1# - AUTHOR 2
Author 2 Darbari, Hemant,
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Author 2 Gaur, Shubhika,
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Author 2 Girdhar, Palak,
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Author 2 Goel, Kartik,
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Author 2 Gulati, Akshay,
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Author 2 Gupta, Charu,
700 1# - AUTHOR 2
Author 2 Gupta, Charu,
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Author 2 H, Annaiah,
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Author 2 Ilmudeen, A.,
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Author 2 Jain, N. K.,
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Author 2 Jain, Priyanka,
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Author 2 Kautish, Sandeep,
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Author 2 Lale, Andualem Walelign,
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Author 2 M, Bhoomika,
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Author 2 Madaan, Vishu,
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Author 2 Maheshwari, Vibha,
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Author 2 Megaladevi, P.,
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Author 2 Mohamed, Hazik,
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Author 2 Nanda, Saurav,
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Author 2 Padalkar, Parth,
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Author 2 Pawar, B. V.,
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Author 2 Rawal, Ria,
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Author 2 Samanta, Saikat,
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Author 2 Sarkar, Achyuth,
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Author 2 Saxena, Sanjive,
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Author 2 Sharma, Aditi,
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Author 2 Sharma, Anand,
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Author 2 Sharma, Shivang,
700 1# - AUTHOR 2
Author 2 Shenoy R, Anagha,
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Author 2 Usman, Akor P.,
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1515/9783110713633
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://www.degruyter.com/isbn/9783110713633
856 42 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://www.degruyter.com/document/cover/isbn/9783110713633/original
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
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-- Berlin ;
-- Boston :
-- De Gruyter,
-- [2022]
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-- ©2022
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-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
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-- rdacarrier
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-- text file
-- PDF
-- rda
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-- Description based on online resource; title from PDF title page (publisher's Web site, viewed 29. Mai 2023)
650 #4 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Algorithmen.
650 #4 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Big Data.
650 #4 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Künstliche Intelligenz.
650 #4 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Maschinelles Lernen.
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-- 978-3-11-076682-0 DG Plus DeG Package 2022 Part 1
-- 2022
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-- 978-3-11-099389-9 EBOOK PACKAGE COMPLETE 2022 English
-- 2022
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-- 978-3-11-099422-3 EBOOK PACKAGE Engineering, Computer Sciences 2022 English
-- 2022
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-- ZDB-23-DEI
-- 2022
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-- ZDB-23-DGG
-- 2022

No items available.