Extracting Knowledge from Large Social Key Valued Data
Journal Title: International Journal of Machine Learning and Networked Collaborative Engineering - Year 2017, Vol 1, Issue 2
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 key-value databases.
Authors and Affiliations
Palvadi Srinivas Kumar
Keywords
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- EP ID EP285011
- DOI 10.30991/IJMLNCE.2017v01i02.003
- Views 141
- Downloads 0
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