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"Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured (labelled) and unstructured (unlabelled) data. It is the future of Artificial Intelligence (AI) and the necessity of future to make things easier and more productive. In simple terms, Data science is the discovery of data or uncovering hidden patterns (like complex behaviors, trends, and inferences) from data. Moreover, Big Data Analytics/Data Analytics are the analysis mechanism used in Data Science by Data Scientist. Several tools like Hadoop, R, etc., are being used to analyse this large amount of data that can be used in predicting the valuable information/ making decisions. Note that structured data can be easily analysed by efficient (available) business intelligence tools, while most of the data (80% of data by 2020) is in unstructured form that requires advanced analytics tools. But while analysing, we face several concerns like complexity, scalability, privacy leaking and trust issues. Data science helps us in extracting meaningful information (or insights) from the unstructured or complex or large amount of data (available or stored around us virtually at cloud). In summary, this book will cover all the possible areas, applications with arising serious concerns, and challenges towards this emerging area/ field in detail (with a comparative analysis/ taxonomy). This books provides information to its readers This book gives concept of Data Science, Tools and Algorithms existed for many useful applications This book provides many challenges and Opportunities in Data Science and Data Analytics, which help researchers in identifying research gaps or problems to continue their research work All possible areas and uses of data science in this smart era This book is in written many areas like agriculture, healthcare, Graph mining, Education, Security, etc., for providing a clear understanding to readers. Academician, Data Scientist, and Stockbrokers from Industry/Business will find this book useful in knowing optimal strategies for enhancing their firm's productivity."

Big data.

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AUTOMATED SECURE COMPUTING FOR NEXT-GENERATION SYSTEMS This book provides cutting-edge chapters on machine-empowered solutions for next-generation systems for today's society. Security is always a primary concern for each application and sector. In the last decade, many techniques and frameworks have been suggested to improve security (data, information, and network). Due to rapid improvements in industry automation, however, systems need to be secured more quickly and efficiently. It is important to explore the best ways to incorporate the suggested solutions to improve their accuracy while reducing their learning cost. During implementation, the most difficult challenge is determining how to exploit AI and ML algorithms for improved safe service computation while maintaining the user's privacy. The robustness of AI and deep learning, as well as the reliability and privacy of data, is an important part of modern computing. It is essential to determine the security issues of using AI to protect systems or ML-based automated intelligent systems. To enforce them in reality, privacy would have to be maintained throughout the implementation process. This book presents groundbreaking applications related to artificial intelligence and machine learning for more stable and privacy-focused computing. By reflecting on the role of machine learning in information, cyber, and data security, Automated Secure Computing for Next-Generation Systems outlines recent developments in the security domain with artificial intelligence, machine learning, and privacy-preserving methods and strategies. To make computation more secure and confidential, the book provides ways to experiment, conceptualize, and theorize about issues that include AI and machine learning for improved security and preserve privacy in next-generation-based automated and intelligent systems. Hence, this book provides a detailed description of the role of AI, ML, etc., in automated and intelligent systems used for solving critical issues in various sectors of modern society. Audience Researchers in information technology, robotics, security, privacy preservation, and data mining. The book is also suitable for postgraduate and upper-level undergraduate students.

Computer security.

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Gastrointestinal system --- Digestive organs --- Cancer. --- Diseases. --- Gastrointestinal Diseases. --- Gastrointestinal Neoplasms. --- Cancer of Gastrointestinal Tract --- Cancer of the Gastrointestinal Tract --- Neoplasms, Gastrointestinal --- Gastrointestinal Cancer --- Cancer, Gastrointestinal --- Cancers, Gastrointestinal --- Gastrointestinal Cancers --- Gastrointestinal Neoplasm --- Gastrointestinal Tract Cancer --- Gastrointestinal Tract Cancers --- Neoplasm, Gastrointestinal --- Functional Gastrointestinal Disorders --- Gastrointestinal Disorders, Functional --- Cholera Infantum --- Gastrointestinal Disorders --- Disease, Gastrointestinal --- Diseases, Gastrointestinal --- Functional Gastrointestinal Disorder --- Gastrointestinal Disease --- Gastrointestinal Disorder --- Gastrointestinal Disorder, Functional --- Gastroenterology

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Computer security. --- Computer privacy --- Computer system security --- Computer systems --- Computers --- Cyber security --- Cybersecurity --- Electronic digital computers --- Protection of computer systems --- Security of computer systems --- Data protection --- Security systems --- Hacking --- Protection --- Security measures

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Engineering. --- Construction --- Industrial arts --- Technology