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文件名称: Cognitive Computing for Big Data Systems Over IoT: Frameworks, Tools and App
  所属分类: spark
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  文件大小: 7mb
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  上传时间: 2018-07-30
  提 供 者: wang106*******
 详细说明: The paradigm shift in towards Internet of Things (IoT) is becoming the vital component of Internet. Low-cost sensing and actuation are available to the whole world, which enable seamless information exchange and networked interactions of physical and digital objects. This interconnectivity together with large-scale data processing, advanced machine learning, robotics and new fabrication techniques are steadily bringing in innovation and business models of digital space into the physical world. Further, IoT is expected to improve the intelligence, promote the interaction between the human and the environment, as well to enhance reliability, resilience, operational efficiency, energy efficiency and resource consumption. Subsequently, many of the IoT systems and technologies are relatively novel, there are still many untapped applications areas, numerous challenges and issues that need to be improved. Cognitive science has broad horizons, which cover different characteristics of cognition. The field is highly transdisciplinary in nature, combining ideas, principles and methods of psychology, computer science, linguistics, philosophy, neuroscience, etc. In addition, cognitive computing is the creation of self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to solve complicated problems without constant human oversight. Cognitive computing will bring a high level of fluidity to analytics. The chapters included in this book aim on addressing recent trends, innovative ideas, challenges and cognitive computing solutions in big data and IoT. Moreover, these chapters specify novel in-depth fundamental research contributions from a methodological/ application in data science accomplishing sustainable solution for the future perspective. Further, this book provides a comprehensive overview of constituent paradigms underlying cognitive computing methods, which are illustrating more attention to big data over IoT problems as they evolve. Hence, the main objective of the book is to facilitate a forum to a large variety of researchers, where decision-making approaches under cognitive computing paradigms are adapted to demonstrate how the proposed procedures as well as big data and IoT problems can be handled in practice. ...展开收缩
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