Description: Cognitive Computing for Big Data Systems over Iot : Frameworks, Tools and Applications, Paperback by Sangaiah, Arun Kumar (EDT); Thangavelu, Arunkumar (EDT); Sundaram, Venkatesan Meenakshi (EDT), ISBN 331970687X, ISBN-13 9783319706870, Like New Used, Free shipping in the US
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
Th 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, th 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.
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Book Title: Cognitive Computing for Big Data Systems over Iot : Frameworks, T
Number of Pages: Xvi, 375 Pages
Language: English
Publication Name: Cognitive Computing for Big Data Systems over Iot : Frameworks, Tools and Applications
Publisher: Springer International Publishing A&G
Subject: Engineering (General), Intelligence (Ai) & Semantics, System Administration / Storage & Retrieval, Databases / Data Mining
Publication Year: 2018
Type: Textbook
Item Weight: 28.4 Oz
Item Length: 9.3 in
Subject Area: Computers, Technology & Engineering
Author: Arunkumar Thangavelu
Item Width: 6.1 in
Series: Lecture Notes on Data Engineering and Communications Technologies Ser.
Format: Trade Paperback
