| LDR | | 03978cmm u2200577 i 4500 |
| 001 | | 000000322347 |
| 003 | | OCoLC |
| 005 | | 20230613114324 |
| 006 | | m d u |
| 007 | | cr ||||||||||| |
| 008 | | 201123s2021 paua ob 001 0 eng |
| 010 | |
▼a 2020052952 |
| 019 | |
▼a 1243422233 |
| 020 | |
▼a 9781799867388
▼q electronic book |
| 020 | |
▼a 1799867382
▼q electronic book |
| 020 | |
▼a 9781799867395
▼q (electronic bk.) |
| 020 | |
▼a 1799867390
▼q (electronic bk.) |
| 020 | |
▼z 9781799867364
▼q hardcover |
| 020 | |
▼z 9781799867371
▼q paperback |
| 024 | 7 |
▼a 10.4018/978-1-7998-6736-4
▼2 doi |
| 035 | |
▼a 2898561
▼b (N$T) |
| 035 | |
▼a (OCoLC)1224583387
▼z (OCoLC)1243422233 |
| 040 | |
▼a DLC
▼b eng
▼e rda
▼c DLC
▼d OCLCO
▼d OCLCF
▼d OCLCO
▼d YDX
▼d OCLCO
▼d IGIGL
▼d N$T
▼d 248032 |
| 042 | |
▼a pcc |
| 049 | |
▼a MAIN |
| 050 | 04 |
▼a RA648.5
▼b .D38 2021 |
| 082 | 00 |
▼a 614.40285
▼2 23 |
| 245 | 00 |
▼a Data science advancements in pandemic and outbreak management /
▼c Eleana Asimakopoulou, Nik Bessis.
▼h [electronic resource] |
| 264 | 1 |
▼a Hershey, PA :
▼b Engineering Science Reference, an imprint of IGI Global,
▼c [2021] |
| 300 | |
▼a 1 online resource (xix, 255 pages) :
▼b color illustrations. |
| 336 | |
▼a text
▼b txt
▼2 rdacontent |
| 337 | |
▼a computer
▼b c
▼2 rdamedia |
| 338 | |
▼a online resource
▼b cr
▼2 rdacarrier |
| 490 | 1 |
▼a Advances in data mining and database management (ADMDM) book series |
| 500 | |
▼a "Premier Reference Source" -- taken from front cover. |
| 504 | |
▼a Includes bibliographical references and index. |
| 505 | 0 |
▼a Section 1. Overview of technologies for pandemic management. Chapter 1. A review of technologies in emergency medicine and sophisticated collective decision-making in the era of the fight against the pandemic ; Chapter 2. Overview of IoT and machine learning for e-healthcare in pandemics and health crises ; Chapter 3. Data analytics epidemic modelling and human dynamics approaches for pandemic outbreak -- Section 2. Data science practices in pandemic management. Chapter 4. The importance of big data metadata in crisis management ; Chapter 5. Pandemic management with social media analytics ; Chapter 6. Deep learning approaches in pandemic and disaster management ; Chapter 7. Information extraction from social media for epidemic models ; Chapter 8. Towards combating pandemic-related misinformation in social media -- Section 3. Technology-driven challenges and implications in pandemic management. Chapter 9. Ensuring food supply and security during localised lockdowns: an information and technology-based approach ; Chapter 10. Privacy-preserving pandemic monitoring ; Chapter 11. Strategies for upskilling in data science after the COVID 19 pandemic. |
| 520 | |
▼a "This book demonstrates how strategies and state-of-the-art information technologies have and/or could be applied to serve as the vehicle to advance pandemic and outbreak management including revisiting and critically reviewing past and current approaches, identifying good and bad practices and further developing adaptation for future pandemics and outbreaks"--
▼c Provided by publisher. |
| 588 | |
▼a Description based on online resource; title from digital title page (viewed on April 01, 2021). |
| 590 | |
▼a Added to collection customer.56279.3 |
| 650 | 0 |
▼a Epidemiology. |
| 650 | 0 |
▼a Emergency management
▼x Information technology. |
| 650 | 7 |
▼a Epidemiology.
▼2 fast
▼0 (OCoLC)fst00914091 |
| 655 | 4 |
▼a Electronic books. |
| 700 | 1 |
▼a Asimakopoulou, Eleana,
▼d 1976-,
▼e editor. |
| 700 | 1 |
▼a Bessis, Nik,
▼d 1967-,
▼e editor. |
| 776 | 08 |
▼i Print version:
▼t Data science advancements in pandemic and outbreak management
▼d Hershey, PA : Engineering Science Reference, [2021]
▼z 9781799867364
▼w (DLC) 2020052951 |
| 830 | 0 |
▼a Advances in data mining and database management (ADMDM) book series. |
| 856 | 40 |
▼3 EBSCOhost
▼u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2898561 |
| 938 | |
▼a EBSCOhost
▼b EBSC
▼n 2898561 |
| 990 | |
▼a 관리자 |
| 994 | |
▼a 92
▼b N$T |