03268cam a2200553Ki 4500 9780429322990 FlBoTFG 20260210180735.0 m o d cr cnu---unuuu 200618t20212021flua gob 001 0 eng d OCoLC-P eng rda OCoLC-P 9781000098280 electronic book 1000098281 electronic book 9781000098303 electronic book 1000098303 electronic book 9780429322990 electronic book 0429322992 electronic book 9781000098297 electronic book Mobipocket 100009829X electronic book Mobipocket 9780367336745 036733674X (OCoLC)1178954689 (OCoLC)1165388047 (OCoLC-P)1178954689 QA76.9.B45 B54 2021 COM 021030 bisacsh UY bicssc 005.7 23 Big data, IoT, and machine learning : tools and applications / edited by Rashmi Agrawal, Marcin Paprzycki, Neha Gupta. First edition. Boca Raton, FL : CRC Press, 2021. ©2021 1 online resource (xvii, 319 pages) : illustrations (some color). text txt rdacontent computer c rdamedia online resource cr rdacarrier Internet of everything (IoE): security and privacy paradigm 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 OCLC-licensed vendor bibliographic record. Big data. Internet of things. Machine learning. 1623 COMPUTERS / Database Management / Data Mining bisacsh Agrawal, Rashmi, editor. Paprzycki, Marcin, editor. Gupta, Neha, editor. Taylor & Francis https://www.taylorfrancis.com/books/9780429322990 OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf 89932 89931