Overview

The ever-expanding realm of Big Data presents a formidable challenge for academic scholars and professionals. The sheer magnitude and diversity of data types, coupled with the continuous influx of information from various sources, make it exceedingly difficult to extract valuable insights. The need to effectively manipulate and analyze this vast amount of data is crucial for companies and organizations to uncover new market intelligence and make informed decisions. Without the proper guidance and understanding of the techniques and methodologies in Big Data analytics, scholars may struggle to navigate this complex landscape and maximize the potential benefits of their research. Big Data Analytics Techniques for Market Intelligence is a meticulously curated collection of original research which addresses the specific challenges faced by scholars and professionals in the field of Big Data analytics. By offering a comprehensive exploration of different techniques and methodologies, this book provides a solution to the hurdles encountered in extracting meaningful information from Big Data. It covers the entire lifecycle of Big Data analytics and also showcases the application of machine learning and deep learning techniques, compares various analysis methods, and presents real-world case studies, enabling readers to develop a holistic understanding of this complex domain. Big Data Analytics Techniques for Market Intelligence empowers academic scholars and professionals to overcome the obstacles inherent in working with Big Data. By gaining insights into the latest advancements in preprocessing, analysis, visualization, and utilization of analysis results, readers can enhance their research capabilities and contribute to their respective fields. Armed with the knowledge and tools provided in this book, scholars can unlock the immense potential of Big Data, generate valuable market intelligence, and drive strategic decision-making. The practical guidance offered in this book ensures that scholars and professionals can effectively harness the power of Big Data analytics and stay at the forefront of this rapidly evolving field.

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Dina Darwish is currently a Professor of Artificial Intelligence for Ahram Canadian University. She is also Vice Dean of Faculty of Computer Science & IT.

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