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Novel Approach to Seat Matrix Prediction using Hadoop

Ravikiran M D1 , Poonam Gouli2

Section:Research Paper, Product Type: Journal Paper
Volume-07 , Issue-13 , Page no. 25-32, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7si13.2532

Online published on May 14, 2019

Copyright © Ravikiran M D, Poonam Gouli . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Ravikiran M D, Poonam Gouli, “Novel Approach to Seat Matrix Prediction using Hadoop,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.13, pp.25-32, 2019.

MLA Style Citation: Ravikiran M D, Poonam Gouli "Novel Approach to Seat Matrix Prediction using Hadoop." International Journal of Computer Sciences and Engineering 07.13 (2019): 25-32.

APA Style Citation: Ravikiran M D, Poonam Gouli, (2019). Novel Approach to Seat Matrix Prediction using Hadoop. International Journal of Computer Sciences and Engineering, 07(13), 25-32.

BibTex Style Citation:
@article{D_2019,
author = {Ravikiran M D, Poonam Gouli},
title = {Novel Approach to Seat Matrix Prediction using Hadoop},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {07},
Issue = {13},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {25-32},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1072},
doi = {https://doi.org/10.26438/ijcse/v7i13.2532}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i13.2532}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1072
TI - Novel Approach to Seat Matrix Prediction using Hadoop
T2 - International Journal of Computer Sciences and Engineering
AU - Ravikiran M D, Poonam Gouli
PY - 2019
DA - 2019/05/14
PB - IJCSE, Indore, INDIA
SP - 25-32
IS - 13
VL - 07
SN - 2347-2693
ER -

           

Abstract

Big data is a term that is used to describe huge data sets having large, varied and complex structure with the hardness of analysing, storing and visualizing for further analysis or results. The analysis into large amounts of data to expose secret correlations and hidden patterns can be termed as big data analytics. [1] Big Data has proved to be beneficial as it helps to gain richer and deeper insights into the underlying mass of data. Common Entrance Test is a flat form for the students to opt for colleges to pursue Under graduation. Every year approximately 150000 students take up CET. Thus, these students will compete for seat among 220 engineering colleges across Karnataka, that are enrolled to the CET cell. Student can opt for a College based on availability of seat or branch for the rank they obtain in CET. Predictive analytics is the basic enabler for big data. On a day to day basis, Businesses collect large quantity of customer data which is used by predictive analytics along with historical data, coupled with customer insight, to forecast future events. For predicting a college several tools are taken into consideration they are: HBase for database, MapReduce for data processing mahout’s distributed naive Bayes classification for classifying and training data.

Key-Words / Index Term

CET, HADOOP, PIG, MAHOUT, MAPREDUCE

References

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[5] V.K.Deepa, J. Rexy R. Geetha,” Rapid Development of Applications in Data Mining”, International Conference on Green High Performance Computing March 14-15, 2013 pp 13-16
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[7] http://kea.kar.nic.in/