Computing & Internet      Databases

Big Data Processing: Lecture Note

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Book Details
Language
English
Publishers
Independently published (7 April 2024)
Weight
0.36 KG
Publication Date
07/04/2024
Pages
270 pages
ISBN-13
9798322156420
Dimensions
15.24 x 1.55 x 22.86 cm
SKU
9798322156420
Author Name
Taeho Jo (Author)
The author of this book, Taeho Jo, is the founder of the publishing company, Alpha AI Publication, to which the copyright of this book belongs to. His specialty is artificial intelligence; he got Bachelor from Korea University, Master from POSTECH (Pohang University of Science and Technology), and PhD from University of Ottawa. He has careers in both industrial organizations, Samsung SDS, ETRI (Electronic and Telecommunication Research Institute), and KISTI (Korea Institute of Science and Technology Information) and academic organizations, Inha University and Hongik University as a professor. He has published more than 200 research papers in journals and proceedings, and twenty books on text mining, machine learning, and deep learning under the contract with the publishing companies, Springer and Alpha AI Publication , was awarded three times to Marquis Who’s Who in the World in 2015, 2016, and 2018, and was granted Noble title, ‘Duke’ from United Kingdom in 2018. The author of this book, Taeho Jo, has a very strong vision for the future as a pioneer of artificial intelligence. Read more about this authorRead less about this author
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This book is concerned with big data processing as a recent hot trend, together with AI (Artificial Intelligence). This book is authored by collecting slides in the lecture during one semester on big data processing; each page is given as a slide.

This book is intended for one which want to study big data processing and is composed of eight lectures. Big data is characterized as four Vs: Volume, Velicity, Veracity, and Variety, and it is almost impossible to process big data with traditional approaches.

This book provides explanations about characteristics of big data and covers the process of big data from acquisition to analysis. .

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