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Results and Placement Analysis and Prediction using Data Mining and Dashboard

by Siddhi Parekh, Ankit Parekh, Ameya Nadkarni, Riya Mehta
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 137 - Number 13
Year of Publication: 2016
Authors: Siddhi Parekh, Ankit Parekh, Ameya Nadkarni, Riya Mehta
10.5120/ijca2016908985

Siddhi Parekh, Ankit Parekh, Ameya Nadkarni, Riya Mehta . Results and Placement Analysis and Prediction using Data Mining and Dashboard. International Journal of Computer Applications. 137, 13 ( March 2016), 22-25. DOI=10.5120/ijca2016908985

@article{ 10.5120/ijca2016908985,
author = { Siddhi Parekh, Ankit Parekh, Ameya Nadkarni, Riya Mehta },
title = { Results and Placement Analysis and Prediction using Data Mining and Dashboard },
journal = { International Journal of Computer Applications },
issue_date = { March 2016 },
volume = { 137 },
number = { 13 },
month = { March },
year = { 2016 },
issn = { 0975-8887 },
pages = { 22-25 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume137/number13/24336-2016908985/ },
doi = { 10.5120/ijca2016908985 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:38:16.798887+05:30
%A Siddhi Parekh
%A Ankit Parekh
%A Ameya Nadkarni
%A Riya Mehta
%T Results and Placement Analysis and Prediction using Data Mining and Dashboard
%J International Journal of Computer Applications
%@ 0975-8887
%V 137
%N 13
%P 22-25
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In educational institutes a huge amount of data is being generated. The produced data does not provide enough information which obscures important details of data that may help in better understanding of available data and its utility. If the data is analyzed efficiently, it can provide many insights, specific information regarding various facets of data which can be useful in a multiple ways. Analysis of data plays a very important role in understanding of information from a given set of data. Analysis of data can be performed using various data mining algorithms which help them to take decisions or arrive at a conclusion with the help of available data. This paper limits implementation of an efficient decision making system which will enable the college to analyze the results and placement of its institute. The main objective of this system is to generate query specific reports of the academic performance of a group of students or a student in particular which helps in evaluating student's potential strengths and weakness with respect requirements of various companies for placement, which assists in understanding of placement trends. Dashboard representation provides a platform to prospect the overall performance of the system.

References
  1. S.SATHISH1, C.R.RENE ROBIN2 “An Optimized Result Analysis System for Institutions in India having Credit System” Vol 03, Issue 01; January-April 2012  ICICES-2012-SAEC
  2. Ajay Kumar Pal 2013 Classification Model of Prediction for Placement of Students, I.J.Modern Education and Computer Science
  3. Alex Berson, Data Warehousing Data Mining & OLAP, Computing Mcgraw-Hill, November 5, 1997.
  4. Arshad Khan, SAP and BW Data Warehousing, Khan Consulting and Publishing, LLC (January 1, 2005) Classification Model of Prediction for Placement of Student.
  5. Abel U. Osagie, Abu Mallam, 2014. ” Students Record Analysis and Examination Result Computation Algorithm”, International Journal of Technology Enhancements and Emerging Engineer Research, VOL 2, ISSUE 8 49 ISSN 2347-4289.
  6. T. Jeevalatha ,N. Ananthi, D. Saravana Kumar“Performance Analysis of Undergraduate Students Placement Selection using Decision Tree Algorithms” International Journal of Computer Applications (0975 – 8887) Volume 108 – No 15. December 2014.
  7. Jermy Smith, Robin Naylor,” Determinants of degree performance in UK universities: a statistical analysis of the 1993 student cohort”, Oxford Bulletin of Economics and Statistics, 63, 1 (2001) 0305-9049.
Index Terms

Computer Science
Information Sciences

Keywords

Classification Data Mining Result and Placement Analysis ID3 Prediction.

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