دانلود کتاب تجزیه و تحلیل داده ها – مفاهیم، تکنیک ها و کاربردها

Big data is a term for datasets that are so large or complex that traditional data processing applications are inadequate for them. The significance of big data has been recognized very recently and there are various opinions on its definition. In layman’s terms, big data reflects the datasets that cannot be perceived, acquired, managed, and processed by the traditional information technology (IT) and software/hardware tools in an efficient manner. Communities such as scientific and technological enterprises, research scholars, data analysts, and technical practitioners have different definitions of big data. Due to a large amount of data arriving at a fast speed, a new set of efficient data analysis techniques are required. In addition to this, the term data science has gained a lot of attention from both the academic research community and the industry. Therefore, data analytics becomes an essential component for any organization. For instance, if we consider health care, financial trading, Internet of Things (IoT) smart cities, or cyber-physical systems, one can find the role of data analytics. However, with these diverse application domains, new research challenges are also arising. In this context, this book on data analytics will provide a broader picture of the concepts, techniques, applications, and open research directions in this area. In addition, the book is expected to serve as a single source of reference for acquiring knowledge on the emerging trends and applications of data analytics. This book is about compiling the latest trends and issues of emerging technologies, concepts, and applications that are based on data analytics. It is written for graduate students in the universities, researchers, academics, and industry practitioners working in the area of data science, machine learning, and other related issues.