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Can I read Cognitive Computing for Big Data Systems Over IoT: Frameworks, Tools and Applications (Lecture Notes on Data Engineering and Communications Technologies Book 14) on EtoBox?
Cognitive Computing for Big Data Systems Over IoT: Frameworks, Tools and Applications (Lecture Notes on Data Engineering and Communications Technologies Book 14) by Arun Kumar Sangaiah; Arunkumar Thangavelu; Venkatesan Meenakshi Sundaram is a nonfiction available to read on EtoBox.
What is Cognitive Computing for Big Data Systems Over IoT: Frameworks, Tools and Applications (Lecture Notes on Data Engineering and Communications Technologies Book 14) about?
1 online resource 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 dat
Who reads Cognitive Computing for Big Data Systems Over IoT: Frameworks, Tools and Applications (Lecture Notes on Data Engineering and Communications Technologies Book 14)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Arun Kumar Sangaiah; Arunkumar Thangavelu; Venkatesan Meenakshi Sundaram
- Publisher
- Springer International Publishing : Imprint : Springer
- Published
- 2018
- Language
- EN
- ISBN
- 9783319706870
- Category
- nonfiction
- Subjects
- Engineering, Mathematics, Science
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