This book offers a clear understanding of the concept of context-aware machine learning including an automated rule-based framework within the broad area of data science and analytics, particularly, with the aim of data-driven intelligent decision making. Thus, we have bestowed a comprehensive study on this topic that explores multi-dimensional contexts in machine learning modeling, context discretization with time-series modeling, contextual rule discovery and predictive analytics, recent-pattern or rule-based behavior modeling, and their usefulness in various context-aware intelligent applications and services. The presented machine learning-based techniques can be employed in a wide range of real-world application areas ranging from personalized mobile services to security intelligence, highlighted in the book. As the interpretability of a rule-based system is high, the automation in discovering rules from contextual raw data can make this book more impactful for the application developers as well as researchers. Overall, this book provides a good reference for both academia and industry people in the broad area of data science, machine learning, AI-Driven computing, human-centered computing and personalization, behavioral analytics, IoT and mobile applications, and cybersecurity intelligence.
This text explains how Islamic banking works and what it offers as an alternative model of financial intermediation. Important questions addressed include: Why Islamic banking started and where it is going? Who are the main players at present and whom it will attract in future? What are its strengths and weaknesses? Will Islamic banks survive in highly competitive and globalized financial markets? What are their prospects and potentials? How does the relative performance and efficiency of Islamic banks compare to conventional banks?
Nutraceutical, during recent decades, has emerged as a new term in the scientific literature. Synonymously used to the term nutraceuticals in literature are dietary supplements, bioactive nutrients, functional foods, etc. This book considers how nutraceutical substances are regulated in different countries; the physiological role of dietary fibers in relation to their claimed health benefits within the scope of functional foods, dietary supplements, and nutraceuticals; prebiotics, probiotics, and synbiotics as nutraceuticals; and the nature of a large number of phytochemicals as nutraceuticals. The book also touts fruits and vegetables as Nature’s multinutraceutical capsules, as evidenced from their beneficial health effects emerging from epidemiological studies on such diseases as diabetes, hypertension, cardiovascular, cancer, osteoporosis, rheumatism, diverticulitis, etc. In light of this, international launching of campaigns on health benefits as “go for 2-5” daily servings of fruits and vegetables is also considered.
The purpose of this book is to provide a general introduction of Industrial Relations with a critical analysis of Cox model of Industrial Relations and Trade Union Movement of Bangladesh. Now days in Bangladesh both public and private universities are teaching Industrial Relations as one of the major subjects of MBA and BBA program. This book will serve the academic purpose as well as to appeal to the largest possible readership and professional In Bangladesh mangers, supervisor and trade unionists confronting each other every day without understanding the process they are engaged. This book should also be useful to the public and specialist groups like teachers.
This book offers a clear understanding of the concept of context-aware machine learning including an automated rule-based framework within the broad area of data science and analytics, particularly, with the aim of data-driven intelligent decision making. Thus, we have bestowed a comprehensive study on this topic that explores multi-dimensional contexts in machine learning modeling, context discretization with time-series modeling, contextual rule discovery and predictive analytics, recent-pattern or rule-based behavior modeling, and their usefulness in various context-aware intelligent applications and services. The presented machine learning-based techniques can be employed in a wide range of real-world application areas ranging from personalized mobile services to security intelligence, highlighted in the book. As the interpretability of a rule-based system is high, the automation in discovering rules from contextual raw data can make this book more impactful for the application developers as well as researchers. Overall, this book provides a good reference for both academia and industry people in the broad area of data science, machine learning, AI-Driven computing, human-centered computing and personalization, behavioral analytics, IoT and mobile applications, and cybersecurity intelligence.
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