Bolton, Julio creator author. text Brooklyn, NY States Academic Press c2025 monographic eng

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vi, 230 pages : colored illustrations ; 26 cm. "Data analytics systematic examination, transformation, and modeling of data to uncover actionable insights and derive meaningful conclusions. Through the application of various analytical techniques, data analytics reveals trends and patterns that might otherwise remain hidden within large datasets. This valuable information can then be used to optimize processes, driving improvements in business or system performance. With its diverse approaches and methodologies, data analysis spans a wide range of fields, including business, science, and social sciences. It is a process of converting raw data into structured, useful information, which is then applied to inform decision-making. Data is often collected for purposes such as hypothesis testing, theory validation, or identifying new opportunities. Data analysis plays a crucial role in making decisions more informed and objective, enabling organizations to function more efficiently. This book unfolds the innovative aspects of data analytics which will be crucial for the holistic understanding of the subject matter. It aims to shed light on some of the unexplored aspects of the field. For all those who are interested in data analytics, this book can prove to be an essential guide. Julio Bolton attained his Master of Science in Data Mining and Predictive Analysis from St. John's University, United States. He has written 5 books and numerous articles in the diverse areas of data management, database systems and data pre- processing. He has won over 10 awards and recognitions for his researches and teaching service. Bolton has also been an invited speaker at various international computer science conferences across Europe, Canada, United States and Asia." --Backcover Contents: Chapter 1 Big data and analytics: an overview -- Chapter 2 Data insights and analysis: key concepts and types -- Chapter 3 Advanced data analysis techniques -- Chapter 4 Clustering techniques for high-dimensional data -- Chapter 5 Data visualization: theories and methodologies -- Chapter 6 Big data analysis: tools and applications. Adult Julio Bolton. Includes bibliographical references and index. Ortega, Eric College of Computer Studies Computer Science Text in English Quantitative research Data sets Big data Information visualization Data mining Information science Visual analytics 9798893660807 [paperback] University of Cebu-Banilad 260930 20260930111306.0