Through the application of cutting-edge techniques like Big Data, Data Mining, and Data Science, it is possible to extract insights from massive datasets. These methodologies are crucial in enabling informed decision-making and driving transformative advancements across many fields, industries, and domains. This book offers an overview of latest tools, methods and approaches while also highlighting their practical use through various applications and case studies. From a computing perspective in our data-rich world, Big Data, Data Mining, and Data Science collectively leverage data to uncover hidden knowledge and solve complex problems. Big Data deals with the vast volumes, velocity, and variety of structured and unstructured data. Data Mining focuses on extracting meaningful patterns and insights from large datasets for predictive modeling and decision support. Data Science aims to extract actionable insights using various techniques to solve complex problems and drive decision-making. These techniques are applied to diverse problems and domains, such as the financial sector, healthcare, e-commerce, and cybersecurity.

Big Data, Data Mining and Data Science: Algorithms, Infrastructures, Management and Security (Intelligent Computing, 2) PDF

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