Cognitive Computing for Big Data Systems Over IoT is popular PDF and ePub book, written by Arun Kumar Sangaiah in 2017-12-30, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Cognitive Computing for Big Data Systems Over IoT can be Read Online from any device for your convenience.
Cognitive Computing for Big Data Systems Over IoT Book PDF Summary
This book brings a high level of fluidity to analytics and addresses recent trends, innovative ideas, challenges and cognitive computing solutions in big data and the Internet of Things (IoT). It explores domain knowledge, data science reasoning and cognitive methods in the context of the IoT, extending current data science approaches by incorporating insights from experts as well as a notion of artificial intelligence, and performing inferences on the knowledge The book provides a comprehensive overview of the constituent paradigms underlying cognitive computing methods, which illustrate the increased focus on big data in IoT problems as they evolve. It includes novel, in-depth fundamental research contributions from a methodological/application in data science accomplishing sustainable solution for the future perspective. Mainly focusing on the design of the best cognitive embedded data science technologies to process and analyze the large amount of data collected through the IoT, and aid better decision making, the book discusses adapting decision-making approaches under cognitive computing paradigms to demonstrate how the proposed procedures as well as big data and IoT problems can be handled in practice. This book is a valuable resource for scientists, professionals, researchers, and academicians dealing with the new challenges and advances in the specific areas of cognitive computing and data science approaches.
Detail Book of Cognitive Computing for Big Data Systems Over IoT PDF
- Author : Arun Kumar Sangaiah
- Release : 30 December 2017
- Publisher : Springer
- ISBN : 9783319706887
- Genre : Technology & Engineering
- Total Page : 375 pages
- Language : English
- PDF File Size : 10,6 Mb
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