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Flight Safety Detection Using Modified Zeror Approach with Nominal Data Conversion

Aparpreet Singh1 , Sandeep Sharma2

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-3 , Page no. 882-887, Mar-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i3.882887

Online published on Mar 31, 2019

Copyright © Aparpreet Singh, Sandeep Sharma . 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: Aparpreet Singh, Sandeep Sharma, “Flight Safety Detection Using Modified Zeror Approach with Nominal Data Conversion,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.3, pp.882-887, 2019.

MLA Style Citation: Aparpreet Singh, Sandeep Sharma "Flight Safety Detection Using Modified Zeror Approach with Nominal Data Conversion." International Journal of Computer Sciences and Engineering 7.3 (2019): 882-887.

APA Style Citation: Aparpreet Singh, Sandeep Sharma, (2019). Flight Safety Detection Using Modified Zeror Approach with Nominal Data Conversion. International Journal of Computer Sciences and Engineering, 7(3), 882-887.

BibTex Style Citation:
@article{Singh_2019,
author = {Aparpreet Singh, Sandeep Sharma},
title = {Flight Safety Detection Using Modified Zeror Approach with Nominal Data Conversion},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2019},
volume = {7},
Issue = {3},
month = {3},
year = {2019},
issn = {2347-2693},
pages = {882-887},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3933},
doi = {https://doi.org/10.26438/ijcse/v7i3.882887}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i3.882887}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3933
TI - Flight Safety Detection Using Modified Zeror Approach with Nominal Data Conversion
T2 - International Journal of Computer Sciences and Engineering
AU - Aparpreet Singh, Sandeep Sharma
PY - 2019
DA - 2019/03/31
PB - IJCSE, Indore, INDIA
SP - 882-887
IS - 3
VL - 7
SN - 2347-2693
ER -

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Abstract

The flight safety monitoring becomes critical and is core area of research focused upon by this literature. To this end, data mining mechanisms employed by existing literature are discussed. ZeroR classifiers shortcoming of handling string values are overcome by converting the attributes to nominal form. Overall process of improving classification process is divided into phases. First phase includes loading the dataset. The fetched dataset requires storage. The dataset is stored within local storage. Second phase is critical and requires additional storage for maintaining pre-processed dataset. Pre-processed dataset contains nominal data. ZeroR cannot handle string data hence pre-processing phase converts data in understandable format for ZeroR classifier. In the second phase, necessary fields required for result prediction are retained and rest of the fields are ignored using regression mechanism. Third phase is a classification phase indicating that the performance is above baseline or not. By accommodating, nominal value conversion process within ZeroR classifier, classification accuracy is improved by 15%.

Key-Words / Index Term

ZeroR, Classification accuracy, Nominal values, String data

References

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