Cognitive Computing for Big Data Systems Over IoT(2017).epub下载

Cognitive systems attract major attention in the new era of computing. In addition, cognitive computing delivers an extended guidance towards building a new class of systems with convergence of big data and Internet of Things (IoT). The human life is driven by the smart electronic devices called IoT. Moreover, IoT devices generate and exchange more amounts of data. Extracting the valid truth from this data becomes a hectic task. Consequently, machine learning techniques have been proposed to analyse large amounts of data and enhance decision-making. The development of new techniques helps to provide relevant information to users with high efficiency. Today’s world is driven by the era of digital data. People not only look into conceiving information from the data but also perform exploratory data analysis, thus, the area of big data analytics has emerged. Analysis of data sets can find new correlations to spot business trends, prevent diseases, and combat crime, etc. In cognitive computing, new hardware or software devices mimic human brain and take a decision appropriate to the situation. Moreover, cognitive computing is used in numerous artificial intelligence (AI) applications, including expert systems, natural language programming, neural networks, robotics and virtual reality. Further, cognitive computing has lots of applications in every area of our lives, from travel, sports and entertainment, to fitness, health and wellness, etc. In the business domain, entrepreneurs from different industries have already created products and services based on cognitive technologies. Cognitive computing helps them by giving intelligent recommendation through data analysis. Cognitive computing is not helping only humans, it is also helping veterinarians take better care of the animals that come into their practices. In future, cognitive systems provide expert assistance to a problem without the intervention of human beings. Self-learning capability of human beings is adapted to the system by applying artificial intelligence to it. Thus, the combination of big data analysis and cognitive computing methodologies over IoT devices can change the world with new colour of Intelligence. This book attempts to explicate the state-of-the-art research in cognitive computing for big data systems and provide a comprehensive and in-depth coverage of the key subjects in the field of IoT. The book is invaluable, topical and timely and can serve nicely as a reference book for courses at both undergraduate and postgraduate levels. It can also serve as a key source of knowledge for scientists, professionals, researchers and academicians, who are interested in new challenges, theories, practice and advanced applications of cognitive computing. I am happy to inform the readers that this book titled “Cognitive Computing for Big Data Systems over IoT” addresses important research directions in cognitive computing and the development of innovative big data models for analysing the data generated by IOT devices. It marks an important step in the maturation of this field and will serve to unify, advance and challenge the scientific community in many ways. I commend the editors and the authors on their accomplishment, and hope that the readers will find the book useful and a source of inspiration for their research and professional activity.