Open Access   Article Go Back

Big Data in Self Evaluating Construction Domain Using EOC Indices

J Lokesh1 , S Sakthivel2 , T Rajesh3

Section:Research Paper, Product Type: Journal Paper
Volume-3 , Issue-3 , Page no. 88-92, Mar-2015

Online published on Mar 31, 2015

Copyright © J Lokesh, S Sakthivel , T Rajesh . 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.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: J Lokesh, S Sakthivel , T Rajesh, “Big Data in Self Evaluating Construction Domain Using EOC Indices,” International Journal of Computer Sciences and Engineering, Vol.3, Issue.3, pp.88-92, 2015.

MLA Style Citation: J Lokesh, S Sakthivel , T Rajesh "Big Data in Self Evaluating Construction Domain Using EOC Indices." International Journal of Computer Sciences and Engineering 3.3 (2015): 88-92.

APA Style Citation: J Lokesh, S Sakthivel , T Rajesh, (2015). Big Data in Self Evaluating Construction Domain Using EOC Indices. International Journal of Computer Sciences and Engineering, 3(3), 88-92.

BibTex Style Citation:
@article{Lokesh_2015,
author = {J Lokesh, S Sakthivel , T Rajesh},
title = {Big Data in Self Evaluating Construction Domain Using EOC Indices},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2015},
volume = {3},
Issue = {3},
month = {3},
year = {2015},
issn = {2347-2693},
pages = {88-92},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=427},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=427
TI - Big Data in Self Evaluating Construction Domain Using EOC Indices
T2 - International Journal of Computer Sciences and Engineering
AU - J Lokesh, S Sakthivel , T Rajesh
PY - 2015
DA - 2015/03/31
PB - IJCSE, Indore, INDIA
SP - 88-92
IS - 3
VL - 3
SN - 2347-2693
ER -

VIEWS PDF XML
2533 2379 downloads 2466 downloads
  
  
           

Abstract

With the growth of technologies on one side the challenges increased gradually on other sides. When a new technology is introduced there will be a shortage of resource talents in understanding the insight view to take benefits of one from that. There are some very serious challenges the construction industries facing that are motivating new approaches to how we design, operate, and maintain buildings and infrastructure. The new technologies are designed to address challenges in the construction industries especially in both operational and maintenance sectors. Big data is a tool for transformation of manual to automated process uses vast size of data or information that it exceeds the capacity of traditional data management technologies. Inadequate insight knowledge (IK) about generating large datasets is one of the most important constraints in any organizations. This paper focus mainly on construction domain rather than other domains including retail, health care, manufacturing, finance and housing, etc. and their importance of big data technology on construction sites and self evaluating their needs to reduce/mange risks, high returns, intensity, knowledge adequacy using two indices: potential values and ease of capture(EOC).

Key-Words / Index Term

Insight Knowledge; Potential Values;Ease of Capture

References

[1] Big Data and the Construction Industry, leopard construction companies leveraging big data analytics, February 5, 2015.
[2] Big data infrastructure covers guiyang, chinadaily.com.cn, 2014-12-17.
[3] Big Data, Predictive Analytics, and Data Visualization in The Construction Engineering December 2013
[4] Perdomo, J., Cavallin, H. (2014) Transforming Building Design Through Integrated Project Delivery in Architectural and Engineering Education, to appear in Proceedings of the ASCE 2014 Construction Research Congress
[5] Efficient document handling for saving time and money, view point.com, October 7, 2014
[6] Construction Industry Trends, Technology for Construction, www.stratusvue.com, 27 April 2014
[7] How Big Data is Transforming Construction, construction global, Aug 19, 2014

[8] Big data insight, Bigdata.cioreview.com, Aug 19, 2014
[9] Stefan Heck & Matt Rogers, “Resource revolution”, Amazon publishers ISBN 978-0-544-11456-2
[10] 5-ways-big-data-is-changing-healthcare-the-latest-from-mckinsey, http://rockhealth.com, April 04, 2013
[11] A. Vasenev, F. Bijleveld, T. Hartmann, A.G. Dorée, Visualization workflow and its implementation at asphalt paving construction sites, joint CIB W078-W102 2011 conference, France, 2012
[12] Constructions Big data problem, randy deutsch, January 14, 2014
[13] WHAT YOU DON'T KNOW ABOUT YOUR (BIG) DATA CAN HURT YOU, ENR.CONSTRUCTION.COM, MAR 12 2012
[14] Construction’s Big Data Mistake, stratusvue.com, July 9, 2013
[15] Three Reasons Why Construction Companies Fail When Trying to Predict Injuries, Griffin Schultz, and August 2014
[16] Three Ways to Use Big Data Analytics to Your Advantage, proest.com, Mar 12, 2015