Big data, IoT, and machine learning : (Record no. 71197)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03328cam a2200565Ki 4500 |
| 001 - CONTROL NUMBER | |
| control field | 9780429322990 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220711212407.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 200618t20212021flua gob 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781000098280 |
| -- | electronic book |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1000098281 |
| -- | electronic book |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781000098303 |
| -- | electronic book |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1000098303 |
| -- | electronic book |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9780429322990 |
| -- | electronic book |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 0429322992 |
| -- | electronic book |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781000098297 |
| -- | electronic book |
| -- | Mobipocket |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 100009829X |
| -- | electronic book |
| -- | Mobipocket |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 005.7 |
| 245 00 - TITLE STATEMENT | |
| Title | Big data, IoT, and machine learning : |
| Sub Title | tools and applications / |
| 250 ## - EDITION STATEMENT | |
| Edition statement | First edition. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 1 online resource (xvii, 319 pages) : |
| 490 0# - SERIES STATEMENT | |
| Series statement | Internet of everything (IoE): security and privacy paradigm |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | The idea behind this book is to simplify the journey of aspiring readers and researchers to understand Big Data, IoT and Machine Learning. It also includes various real-time/offline applications and case studies in the fields of engineering, computer science, information security and cloud computing using modern tools. This book consists of two sections: Section I contains the topics related to Applications of Machine Learning, and Section II addresses issues about Big Data, the Cloud and the Internet of Things. This brings all the related technologies into a single source so that undergraduate and postgraduate students, researchers, academicians and people in industry can easily understand them. Features Addresses the complete data science technologies workflow Explores basic and high-level concepts and services as a manual for those in the industry and at the same time can help beginners to understand both basic and advanced aspects of machine learning Covers data processing and security solutions in IoT and Big Data applications Offers adaptive, robust, scalable and reliable applications to develop solutions for day-to-day problems Presents security issues and data migration techniques of NoSQL databases |
| 700 1# - AUTHOR 2 | |
| Author 2 | Agrawal, Rashmi, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Paprzycki, Marcin, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Gupta, Neha, |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://www.taylorfrancis.com/books/9780429322990 |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Boca Raton, FL : |
| -- | CRC Press, |
| -- | 2021. |
| 264 #4 - | |
| -- | ©2021 |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 588 ## - | |
| -- | OCLC-licensed vendor bibliographic record. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Big data. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Internet of things. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Machine learning. |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | COMPUTERS / Database Management / Data Mining |
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