| Tag |
First Indicator |
Second Indicator |
Subfields |
| LEADER |
00000cam a2200000 4500 |
| 001 |
in00005779965 |
| 005 |
20260429154413.9 |
| 006 |
m o d |
| 007 |
cr |n||||||||| |
| 008 |
260214s2026 xx o 0|| 0 eng d |
| 040 |
|
|
|a YDX
|b eng
|c YDX
|d TYFRS
|d OCLCO
|d OCLCQ
|d TYFRS
|d N$T
|
| 020 |
|
|
|a 9781040584958
|q (electronic bk.)
|
| 020 |
|
|
|a 1040584950
|q (electronic bk.)
|
| 020 |
|
|
|a 9781003628569
|q (electronic bk.)
|
| 020 |
|
|
|a 1003628567
|q (electronic bk.)
|
| 020 |
|
|
|a 1040609686
|q (electronic bk. : EPUB)
|
| 020 |
|
|
|a 9781040609682
|q (electronic bk.)
|
| 020 |
|
|
|z 1041043961
|
| 020 |
|
|
|z 9781041043966
|
| 024 |
7 |
|
|a 10.1201/9781003628569
|2 doi
|
| 035 |
|
|
|a (OCoLC)1573015417
|
| 037 |
|
|
|a 9781003628569
|b Taylor & Francis
|
| 050 |
|
4 |
|a QA76.9.B45
|
| 072 |
|
7 |
|a AKP
|2 thema
|
| 072 |
|
7 |
|a AKP
|2 bicssc
|
| 072 |
|
7 |
|a TEC020000
|2 bisacsh
|
| 072 |
|
7 |
|a TDP
|2 thema
|
| 072 |
|
7 |
|a TNF
|2 thema
|
| 072 |
|
7 |
|a TBC
|2 thema
|
| 072 |
|
7 |
|a UNF
|2 thema
|
| 072 |
|
7 |
|a UYQ
|2 thema
|
| 072 |
|
7 |
|a TJFM
|2 thema
|
| 072 |
|
7 |
|a THR
|2 thema
|
| 072 |
|
7 |
|a TDP
|2 bicssc
|
| 072 |
|
7 |
|a TNF
|2 bicssc
|
| 072 |
|
7 |
|a TBC
|2 bicssc
|
| 072 |
|
7 |
|a UNF
|2 bicssc
|
| 072 |
|
7 |
|a UYQ
|2 bicssc
|
| 072 |
|
7 |
|a TJFM
|2 bicssc
|
| 072 |
|
7 |
|a THR
|2 bicssc
|
| 072 |
|
7 |
|a COM094000
|2 bisacsh
|
| 072 |
|
7 |
|a TEC009060
|2 bisacsh
|
| 082 |
0 |
4 |
|a 005.7
|
| 049 |
|
|
|a TXAM
|
| 245 |
0 |
0 |
|a Data Science :
|b Semantic Technology, Intelligent Data Analytics, and Sustainability Practices /
|c edited by Narayan C. Debnath, Archana Patel, and Ambrish Kumar Mishra.
|
| 260 |
|
|
|a [S.l.] :
|b CRC PRESS,
|c 2026.
|
| 300 |
|
|
|a 1 online resource
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 341 |
0 |
|
|3 EPUB
|b ARIA roles provided
|2 onix
|
| 341 |
0 |
|
|3 EPUB
|b Accessible math content as MathML
|2 onix
|
| 341 |
0 |
|
|3 EPUB
|b All non-decorative content supports reading without sight
|2 onix
|
| 341 |
0 |
|
|3 EPUB
|b Appearance of all textual content can be modified
|2 onix
|
| 341 |
0 |
|
|3 EPUB
|b Epub Accessibility Specification 1.1
|2 onix
|
| 341 |
0 |
|
|3 EPUB
|b Index navigation
|2 onix
|
| 341 |
0 |
|
|3 EPUB
|b Next / Previous structural navigation
|2 onix
|
| 341 |
0 |
|
|3 EPUB
|b Print-equivalent page numbering
|2 onix
|
| 341 |
0 |
|
|3 EPUB
|b Short alternative textual descriptions
|2 onix
|
| 341 |
0 |
|
|3 EPUB
|b Single logical reading order
|2 onix
|
| 341 |
0 |
|
|3 EPUB
|b Table of contents navigation
|2 onix
|
| 341 |
0 |
|
|3 EPUB
|b Use of color is not sole means of conveying information
|2 onix
|
| 341 |
0 |
|
|3 PDF
|b Index navigation
|2 onix
|
| 341 |
0 |
|
|3 PDF
|b Print-equivalent page numbering
|2 onix
|
| 341 |
0 |
|
|3 PDF
|b Short alternative textual descriptions
|2 onix
|
| 341 |
0 |
|
|3 PDF
|b Table of contents navigation
|2 onix
|
| 520 |
|
|
|a As data is the most important asset for any organization, it is essential to apply analytics to fulfill the sustainability needs of any organization. This book aims to provide a context for data analytics for the sustainability of organizations, demonstrating innovation across a few specific subject areas with detailed coverage. It highlights how data analytics enables organizations to create intelligence by exploring opportunities and overcoming challenges, both present and future.Data Science: Semantic Technology, Intelligent Data Analytics, and Sustainability Practices is packed with up-to-date examples and data, ensuring it is both meaningful and practical for a diverse audience. It begins with an introduction to data analytics in the context of sustainable development. Each chapter explores the different aspects of data analytics for sustainability, utilizing a state-of-the-art context that is easy to grasp. Key concepts are presented through clear explanations, making them accessible to all readers. At the end of each chapter is a summary of the main points, allowing for quick reviews of the essential ideas. It provides practical insights into applying data analytics concepts toward sustainable development, empowering readers to enhance their decision-making abilities, and also discusses a strategic approach aligned with the vision for 2030 and beyond while addressing the anticipated challenges.This resource provides support to researchers, scholars, technology practitioners, business analysts, data scientists, and industry professionals worldwide, promoting globalization and enabling real-life application of findings in their organizations.
|
| 532 |
8 |
|
|3 EPUB
|a No known hazards or warnings
|
| 532 |
8 |
|
|3 EPUB
|a Publisher contact for further accessibility information: ebookqueries@tandf.co.uk
|
| 532 |
8 |
|
|3 PDF
|a No known hazards or warnings
|
| 532 |
8 |
|
|3 PDF
|a Publisher contact for further accessibility information: ebookqueries@tandf.co.uk
|
| 650 |
|
0 |
|a Big data.
|
| 650 |
|
0 |
|a Semantic computing.
|
| 650 |
|
0 |
|a Artificial intelligence.
|
| 650 |
|
0 |
|a Information science.
|
| 650 |
|
0 |
|a Information technology.
|
| 650 |
|
6 |
|a Informatique sémantique.
|
| 650 |
|
6 |
|a Intelligence artificielle.
|
| 650 |
|
6 |
|a Sciences de l'information.
|
| 650 |
|
6 |
|a Technologie de l'information.
|
| 650 |
|
7 |
|a artificial intelligence.
|2 aat
|
| 650 |
|
7 |
|a information science.
|2 aat
|
| 650 |
|
7 |
|a information technology.
|2 aat
|
| 655 |
|
7 |
|a Electronic books.
|2 local
|
| 700 |
1 |
|
|a Debnath, N. C.
|q (Narayan C.)
|1 https://id.oclc.org/worldcat/entity/E39PCjxMC9HHgwBQkGCmh6kcmq
|
| 710 |
2 |
|
|a Taylor & Francis.
|
| 776 |
0 |
8 |
|i Print version:
|z 1041043961
|z 9781041043966
|w (OCoLC)1530353430
|
| 856 |
4 |
0 |
|u http://proxy.library.tamu.edu/login?url=https://www.taylorfrancis.com/books/9781003628569
|z Connect to the full text of this electronic book
|t 0
|
| 936 |
|
|
|a BATCHLOAD
|
| 955 |
|
|
|a Taylor and Francis ENGnetBASE
|
| 994 |
|
|
|a 92
|b TXA
|
| 999 |
f |
f |
|i 9817bedc-779f-4035-9e0b-4b45b44cb4f1
|s 27dd5e18-546c-494e-b793-906ec59c1627
|t 0
|
| 952 |
f |
f |
|a Texas A&M University
|b College Station
|c Electronic Resources
|s www_evans
|d Available Online
|t 0
|e QA76.9.B45
|h Library of Congress classification
|
| 998 |
f |
f |
|a QA76.9.B45
|t 0
|l Available Online
|