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A Study on Big Data and Big Data Analytical Research and Issues

P.Kodimalar 1

Section:Review Paper, Product Type: Journal Paper
Volume-3 , Issue-11 , Page no. 171-179, Nov-2015

Online published on Nov 30, 2015

Copyright © P.Kodimalar . 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: P.Kodimalar, “A Study on Big Data and Big Data Analytical Research and Issues,” International Journal of Computer Sciences and Engineering, Vol.3, Issue.11, pp.171-179, 2015.

MLA Style Citation: P.Kodimalar "A Study on Big Data and Big Data Analytical Research and Issues." International Journal of Computer Sciences and Engineering 3.11 (2015): 171-179.

APA Style Citation: P.Kodimalar, (2015). A Study on Big Data and Big Data Analytical Research and Issues. International Journal of Computer Sciences and Engineering, 3(11), 171-179.

BibTex Style Citation:
@article{_2015,
author = {P.Kodimalar},
title = {A Study on Big Data and Big Data Analytical Research and Issues},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {11 2015},
volume = {3},
Issue = {11},
month = {11},
year = {2015},
issn = {2347-2693},
pages = {171-179},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=756},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=756
TI - A Study on Big Data and Big Data Analytical Research and Issues
T2 - International Journal of Computer Sciences and Engineering
AU - P.Kodimalar
PY - 2015
DA - 2015/11/30
PB - IJCSE, Indore, INDIA
SP - 171-179
IS - 11
VL - 3
SN - 2347-2693
ER -

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Abstract

Currently suggestions are opening to appreciate the implication of operating additional data in application to care high-quality for their strategies. It was said and proved through study cases that “More Data usually beats better algorithms”. With this announcement suggestions ongoing to recognize that they be able to select to participate further in formulating superior collections of data moderately than advancing in costly algorithms. The significant volume of data is enhanced operated by way of a total the conceivable associations on a more extent, interactions that be able to certainly not be institute if the data is analyzed on separate sets or on a littler set. A greater sum of Data gives a better output but moreover working with it can become a challenge due to preparing limitations. This in this paper intends to characterize the idea of Big Data and stress the significance of Big Data Analytics.

Key-Words / Index Term

Big Data, Big Data Analytics, Data Acquisition, Data Generation, Data Storage

References

[1] Jinson Zhang; “BigData visualization: Parallel coordinates using density approach“ Published in: Systems and Informatics (ICSAI), 2014 2nd International Conference on Date of Conference: 15-17 Nov. 2014 Page(s): 1056 – 1063.
[2] Yu, M. “Invited Speech: BigData application for 28nm and below “Published in: e-Manufacturing & Design Collaboration Symposium (eMDC), 2012 Date of Conference: 4-4 Sept. 2012] Page(s): 1
[3] D'Ambrosio, R.; Belhajali, W.; Barlaud, M. “Boosting Stochastic Newton Descent for Bigdata large scale classification“ Published in: Big Data (Big Data), 2014 IEEE International Conference on Date of Conference: 27-30 Oct. 2014 Page(s): 36 - 41.
[4] Devgun, A.; “A machine learning adaptive approach to remove impurities over Bigdata” Published in: Electronics, Communication and Computational Engineering (ICECCE), 2014 International Conference on Date of Conference: 17-18 Nov. 2014 Page(s): 220 - 225
[5] Ramamoorthy, S.; “Optimized data analysis in cloud using BigData analytics techniques” Published in: Computing, Communications and Networking Technologies (ICCCNT), 2013 Fourth International Conference on Date of Conference: 4-6 July 2013 Page(s): 1 – 5
[6] Shidaganti, G.; Prakash, S. “Feedback analysis of unstructured data from collaborative networking a BigData analytics approach” Published in: Circuits, Communication, Control and Computing (I4C), 2014 International Conference on Date of Conference: 21-22 Nov. 2014 Page(s): 343 - 347
[7] Pradhananga, Y.; Karande, S.; Karande, C. “CBA: Cloud-Based Bigdata Analytics” Published in: Computing Communication Control and Automation (ICCUBEA), 2015 International Conference on Date of Conference: 26-27 Feb. 2015 Page(s): 47 – 51.
[8] Arun, J.; Hazaruthin, M.M. ; Karthik, M. “Analytics as a service delivery model for the cloud“ Published in: Engineering and Technology (ICETECH), 2015 IEEE International Conference on Date of Conference: 20-20 March 2015 Page(s): 1 - 5
[9] Ghazali, N.; Shahidan, W.N.W. ; Din, Z. ; Rahim, A. more authors “Remote data acquisation and QC tools for vehicle navigation mapping solution“ Published in: Space Science and Communication (IconSpace), 2011 IEEE International Conference on Date of Conference: 12-13 July 2011 Page(s): 217 – 220.
[10] Yasar, Onur; “Developing easy pluggable test equipments for factory and development testing of air defense gun system“ Published in: IEEE AUTOTESTCON, 2015 Date of Conference: 2-5 Nov. 2015 Page(s): 169 – 172.
[11] Konik, A. ; Johnson, K.L.; Dasari, P. “Digital anthropomorphic phantoms of non-rigid human respiratory and voluntary body motions: A tool-set for investigating motion correction in 3D reconstruction“ Published in: Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2011 IEEE Date of Conference: 23-29 Oct. 2011 Page(s): 3572 – 3578
[12] Yen-Feng Li; Taipei, Taiwan; Pai-Chi Li “Ultrasound beamforming with compressed data“ Published in: Ultrasonics Symposium (IUS), 2010 IEEE Date of Conference: 11-14 Oct. 2010Page(s): 1912 – 1915.
[13] Xinzhong Liu; Gaochao Xu; Xiaodong Fu; Yushuang Dong “Test Data Generation Considering Data Dependence” Published in: Frontier of Computer Science and Technology (FCST), 2010 Fifth International Conference on Date of Conference: 18-22 Aug. 2010 Page(s): 208 – 213
[14] Romli, R.; Sulaiman, S.; Zamli, K.Z. “Test data generation framework for Automatic Programming Assessment” Published in: Software Engineering Conference (MySEC), 2014 8th Malaysian Date of Conference: 23-24 Sept. 2014 Page(s): 84 - 89
[15] Hameed, S.A.; Int. Islamic Univ. Malaysia, Gombak, Malaysia; Deraman, A. ; Hamdan, A.R. “Framework for Intelligent Meaningful Test Data Generation model-IMTDG” Published in: TENCON 2000. Proceedings (Volume:2 ) Date of Conference: 2000 Page(s): 16 - 22 vol.2
[16] Zhao, R. ; Qing Li “Automatic Test Generation for Dynamic Data Structures” Published in: Software Engineering Research, Management & Applications, 2007. SERA 2007. 5th ACIS International Conference on Date of Conference: 20-22 Aug. 2007 Page(s): 545 – 549
[17] Alnafoosi, A.B.; Coll. of Comput. & Digital Media, DePaul Univ., Chicago, IL, USA; Steinbach, T. “An integrated framework for evaluating big-data storage solutions - IDA case study“ Published in: Science and Information Conference (SAI), 2013 Date of Conference: 7-9 Oct. 2013 Page(s):947 – 956
[18] Roos, A.; Drusedow, S. ; Hosseini, M.I. ; Coskun, G. “Trust Level Based Data Storage and Data Access Control in a Distributed Storage Environment” Published in: Mobile Cloud Computing, Services, and Engineering (MobileCloud), 2015 3rd IEEE International Conference on Date of Conference: March 30 2015-April 3 2015 Page(s): 169 – 176
[19] Wuling Ren ; Hangzhou; Pan Zhou “Research on the Data Storage and Access Model in Distributed Environment“ Published in: Computer Engineering and Technology, 2009. ICCET '09. International Conference on (Volume:1 ) Date of Conference: 22-24 Jan. 2009 Page(s): 134 – 136.
[20] Coufal, H.; “Holographic data storage or reliability; a status report“ Published in: Optical Data Storage Topical Meeting, 1997. ODS. Conference Digest Date of Conference: 7-9 April 1997 Page(s): 46 – 47.