000 | 03233cam a2200541Ki 4500 | ||
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001 | 9780429322990 | ||
003 | FlBoTFG | ||
005 | 20220509192950.0 | ||
006 | m o d | ||
007 | cr cnu---unuuu | ||
008 | 200618t20212021flua gob 001 0 eng d | ||
040 |
_aOCoLC-P _beng _erda _cOCoLC-P |
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020 |
_a9781000098280 _qelectronic book |
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020 |
_a1000098281 _qelectronic book |
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020 |
_a9781000098303 _qelectronic book |
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020 |
_a1000098303 _qelectronic book |
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020 |
_a9780429322990 _qelectronic book |
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020 |
_a0429322992 _qelectronic book |
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020 |
_a9781000098297 _qelectronic book _qMobipocket |
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020 |
_a100009829X _qelectronic book _qMobipocket |
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020 | _z9780367336745 | ||
020 | _z036733674X | ||
035 |
_a(OCoLC)1178954689 _z(OCoLC)1165388047 |
||
035 | _a(OCoLC-P)1178954689 | ||
050 | 4 |
_aQA76.9.B45 _bB54 2021 |
|
072 | 7 |
_aCOM _x021030 _2bisacsh |
|
072 | 7 |
_aUY _2bicssc |
|
082 | 0 | 4 |
_a005.7 _223 |
245 | 0 | 0 |
_aBig data, IoT, and machine learning : _btools and applications / _cedited by Rashmi Agrawal, Marcin Paprzycki, Neha Gupta. |
250 | _aFirst edition. | ||
264 | 1 |
_aBoca Raton, FL : _bCRC Press, _c2021. |
|
264 | 4 | _c©2021 | |
300 |
_a1 online resource (xvii, 319 pages) : _billustrations (some color). |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
||
490 | 0 | _aInternet of everything (IoE): security and privacy paradigm | |
520 | _aThe 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 | ||
588 | _aOCLC-licensed vendor bibliographic record. | ||
650 | 0 | _aBig data. | |
650 | 0 | _aInternet of things. | |
650 | 0 | _aMachine learning. | |
650 | 7 |
_aCOMPUTERS / Database Management / Data Mining _2bisacsh |
|
700 | 1 |
_aAgrawal, Rashmi, _eeditor. |
|
700 | 1 |
_aPaprzycki, Marcin, _eeditor. |
|
700 | 1 |
_aGupta, Neha, _eeditor. |
|
856 | 4 | 0 |
_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9780429322990 |
856 | 4 | 2 |
_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
999 |
_c127383 _d127383 |