03268cam a2200553Ki 45000010014000000030008000140050017000220060019000390070015000580080041000730400031001140200035001450200032001800200035002120200032002470200035002790200032003140200047003460200044003930200018004370200015004550350041004700350024005110500025005350720025005600720015005850820014006002450125006142500019007392640040007582640011007983000071008093360026008803370026009063380036009324900064009685201231010325880047022636500014023106500024023246500028023486500059023767000030024357000032024657000026024978560072025238560102025959990017026979780429322990FlBoTFG20260210180735.0m     o  d        cr cnu---unuuu200618t20212021flua   gob    001 0 eng d  aOCoLC-PbengerdacOCoLC-P  a9781000098280qelectronic book  a1000098281qelectronic book  a9781000098303qelectronic book  a1000098303qelectronic book  a9780429322990qelectronic book  a0429322992qelectronic book  a9781000098297qelectronic bookqMobipocket  a100009829Xqelectronic bookqMobipocket  z9780367336745  z036733674X  a(OCoLC)1178954689z(OCoLC)1165388047  a(OCoLC-P)1178954689 4aQA76.9.B45bB54 2021 7aCOMx0210302bisacsh 7aUY2bicssc04a005.722300aBig data, IoT, and machine learning :btools and applications /cedited by Rashmi Agrawal, Marcin Paprzycki, Neha Gupta.  aFirst edition. 1aBoca Raton, FL :bCRC Press,c2021. 4c©2021  a1 online resource (xvii, 319 pages) :billustrations (some color).  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier0 aInternet of everything (IoE): security and privacy paradigm  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  aOCLC-licensed vendor bibliographic record. 0aBig data. 0aInternet of things. 0aMachine learning.91623 7aCOMPUTERS / Database Management / Data Mining2bisacsh1 aAgrawal, Rashmi,eeditor.1 aPaprzycki, Marcin,eeditor.1 aGupta, Neha,eeditor.403Taylor & Francisuhttps://www.taylorfrancis.com/books/9780429322990423OCLC metadata license agreementuhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf  c89932d89931