BOOKS - Big Data, Data Mining and Data Science Algorithms, Infrastructures, Managemen...
Big Data, Data Mining and Data Science Algorithms, Infrastructures, Management and Security - George Dimitoglou, Leonidas Deligiannidis, Hamid R. Arabnia 2025 PDF | EPUB De Gruyter BOOKS
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Big Data, Data Mining and Data Science Algorithms, Infrastructures, Management and Security
Author: George Dimitoglou, Leonidas Deligiannidis, Hamid R. Arabnia
Year: 2025
Format: PDF | EPUB
File size: 66.3 MB
Language: ENG



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Big Data Data Mining and Data Science Algorithms Infrastructures Management and Security: A Comprehensive Guide to Harnessing the Power of Big Data In today's digital age, data has become the backbone of every industry, and big data analytics has become a crucial tool for businesses, governments, and organizations to make informed decisions. However, managing and securing this vast amount of data has become a daunting task. This book provides a comprehensive guide to harnessing the power of big data, from data mining techniques to infrastructure management and security. The book begins by exploring the concept of big data and its significance in today's world. It delves into the various sources of big data, including social media, IoT devices, and other digital platforms, and discusses the challenges associated with managing and analyzing these data sets. The authors then introduce the reader to data mining techniques, such as machine learning, deep learning, and natural language processing, which are essential tools for extracting valuable insights from big data. The next section of the book focuses on the infrastructure required to support big data analytics. The authors discuss the importance of cloud computing, distributed computing, and other technologies that enable scalable and flexible data processing. They also highlight the need for robust security measures to protect sensitive information and maintain confidentiality. As the book progresses, the authors delve into the various applications of big data analytics, including predictive maintenance, fraud detection, and customer behavior analysis.
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