A Review - From Data to Actionable Knowledge

Authors(4) :-Pinkal Shah, Trilok Suthar, Digvijaysinh Mahida, Shivam Upadhyay

Over the years, Speed of data generation has become very frequent and advanced technologies have provided more facilities to generate and gather data. These data are continuous and associated with many other things like decision making and data stream mining. Among multiple technologies Internet of Things (IoT) plays significant role in generating different types of data and make computational of data more challenging. In this paper, Extending the current technology providing connection and internetworking between devices and physical objects or "things," is a growing trend that's often referred to as the Internet of Things (IoT). Sharing real-world data into the Web, with its large sources of data, and providing Web-based interactions between humans and IoT object is what the Web of Things (WoT) stands for. Here, the Big Data issues in the WoT, discuss the challenges of extracting actionable data and insights from raw object data.

Authors and Affiliations

Pinkal Shah
IT Department, Sigma Institute of engineering, Vadodara, Gujarat, India
Trilok Suthar
IT Department, Sigma Institute of engineering, Vadodara, Gujarat, India
Digvijaysinh Mahida
IT Department, Sigma Institute of engineering, Vadodara, Gujarat, India
Shivam Upadhyay
IT Department, Sigma Institute of engineering, Vadodara, Gujarat, India

Internet of Things, Data Analysis, Web of Things, Big Data

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Publication Details

Published in : Volume 4 | Issue 5 | March-April 2018
Date of Publication : 2018-04-10
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 300-303
Manuscript Number : CI013
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Pinkal Shah, Trilok Suthar, Digvijaysinh Mahida, Shivam Upadhyay, " A Review - From Data to Actionable Knowledge, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 5, pp.300-303, March-April-2018.
Journal URL : http://ijsrset.com/CI013

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