0
Your cart

Your cart is empty

Books > Children's & Educational > Science

Buy Now

Research Practitioner's Handbook on Big Data Analytics (Hardcover) Loot Price: R3,806
Discovery Miles 38 060
Research Practitioner's Handbook on Big Data Analytics (Hardcover): S. Sasikala

Research Practitioner's Handbook on Big Data Analytics (Hardcover)

S. Sasikala; Edited by Raghvendra Kumar; D. Renuka Devi

 (sign in to rate)
Loot Price R3,806 Discovery Miles 38 060 | Repayment Terms: R357 pm x 12*

Bookmark and Share

Expected to ship within 12 - 17 working days

With the growing interest in and use of big data analytics in many industries and in many research fields around the globe, this new volume addresses the need for a comprehensive resource on the core concepts of big data analytics along with the tools, techniques, and methodologies. The book gives the why and the how of big data analytics in an organized and straightforward manner, using both theoretical and practical approaches. The book's authors have organized the contents in a systematic manner, starting with an introduction and overview of big data analytics and then delving into pre-processing methods, feature selection methods and algorithms, big data streams, and big data classification. Such terms and methods as swarm intelligence, data mining, the bat algorithm and genetic algorithms, big data streams, and many more are discussed. The authors explain how deep learning and machine learning along with other methods and tools are applied in big data analytics. The last section of the book presents a selection of illustrative case studies that show examples of the use of data analytics in industries such as health care, business, education, and social media. Research Practitioner's Handbook on Big Data Analytics will be a valuable addition to the libraries of practitioners in data collection in many industries along with research scholars and faculty in the domain of big data analytics. The book can also serve as a handy textbook for courses in data collection, data mining, and big data analytics.

General

Imprint: Apple Academic Press Inc.
Country of origin: Canada
Release date: May 2023
First published: 2022
Authors: S. Sasikala
Editors: Raghvendra Kumar
Authors: D. Renuka Devi
Dimensions: 234 x 156mm (L x W)
Format: Hardcover
Pages: 292
ISBN-13: 978-1-77491-052-8
Categories: Books > Science & Mathematics > Biology, life sciences > General
Books > Computing & IT > General theory of computing > Data structures
Books > Computing & IT > Computer programming > Algorithms & procedures
Books > Children's & Educational > Science > General
Books > Computing & IT > Applications of computing > Databases > General
Books > Children's Fiction & Fun
LSN: 1-77491-052-7
Barcode: 9781774910528

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!

Partners