A proposed contextual model for big data analysis using advanced analytics

Manjula Ramannavar, Nandini S. Sidnal

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

Big Data has numerous issues related to its primary defining characteristics of the three V’s: Variety, Volume and Velocity. A greater segment of Big Data is attributed to semi-structured or unstructured text that emanates from social interactions on the web, emails, tweets, blogs, etc. Conventional approaches are overwhelmed by the data deluge and fall short to perform. These challenges consequently create scope for research in developing models to analyze data and extract actionable insights to realize the fourth V, i.e., Value. The purpose of this paper is to propose a contextual model for Resume Analytics that utilizes Semantic technologies and Analytic (Descriptive, Predictive and Prescriptive) procedures to find a befitting match between a job and candidate(s). The related work, issues and challenges and design requirements are presented along with a discussion of the analytical framework for the opted use case.

Original languageEnglish
Title of host publicationBig Data Analytics - Proceedings of CSI 2015
EditorsV.B. Aggarwal, Vasudha Bhatnagar, Durgesh Kumar Mishra
PublisherSpringer Verlag
Pages329-339
Number of pages11
ISBN (Print)9789811066191
DOIs
Publication statusPublished - 2018
Externally publishedYes
Event50th Annual Convention of Computer Society of India : Big Data Analytics, CSI 2015 - New Delhi, India
Duration: 2 Dec 20155 Dec 2015

Publication series

NameAdvances in Intelligent Systems and Computing
Volume654
ISSN (Print)2194-5357

Conference

Conference50th Annual Convention of Computer Society of India : Big Data Analytics, CSI 2015
Country/TerritoryIndia
CityNew Delhi
Period2/12/155/12/15

Keywords

  • Big data
  • Descriptive analytics
  • Predictive analytics
  • Prescriptive analytics
  • Semantic technologies

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