Extracting knowledge from Large Social Key Valued Data

Main Article Content

Palvadi Srinivas Kumar

Abstract

With advances in computer and information technology, large amount of different types
of valuable data are gathered and generate in the present time of huge information from a large
range of sources of availability of information of various veracities at a high speed. Throughout
late years, a couple of frameworks and applications have built up the utilization cloud, structure
and organization enlisting to direct and analyze huge data with a specific end goal to help data
science (e.g., identifying and extracting data). In this paper, we display an answer for social
computing and social network analytics so as to provide services and support to big information
mining of fascinating examples from huge interpersonal organizations that are stored in keyvalue
databases

Article Details

How to Cite
Kumar, P. (2018). Extracting knowledge from Large Social Key Valued Data. International Journal of Machine Learning and Networked Collaborative Engineering, 1(02). Retrieved from https://mlnce.net/index.php/Home/article/view/18
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