Research issues in Big Data – A Review

International Journal of Computer Trends and Technology (IJCTT)          
© 2019 by IJCTT Journal
Volume-67 Issue-10
Year of Publication : 2019
Authors : G. Sandra
DOI :  10.14445/22312803/IJCTT-V67I10P117


MLA Style:G. Sandra  "Research issues in Big Data – A Review" International Journal of Computer Trends and Technology 67.10 (2019):99-102.

APA Style G. Sandra. Research issues in Big Data – A Review,  International Journal of Computer Trends and Technology, 67(10),99-102.

Thanks to the development of modern information system and digital techniques, huge amount of data is generating at every moment, which is called Big Data. At present it is the major source of knowledge discovery. Different agencies, such as organizations, governments, academicians, politics, science, marketing companies, health sector, etc. are depending on it for their business prosperity and formulating policy decisions. Big data is both the source of benefits as well as many risks. For the realization of its benefits and solving the risks, big data becomes the center of research and development of both industries and academia. The basic objective of this paper to explore the major research issues in Big Data.

[1] C Dobra and F Xhafa , “Intelligent services for big data science”. Future Generation Computer Systems, 37, 2014, PP.267-281.
[2] 10 Challenges to Big Data security and privacy,, 2017,07.
[3] X Y , F Liu , J Liu and H Jin , “Building a network highway to big data: Architecture and Challenges”, IEEE Network, 28{4}, 2014,PP.5-13.
[4] “Big data Analytics: Security and Privacy Challenges”, 2016, IEEE Symposium on Computers and Communications.
[5] Christine Taylor, “Big-Data, Structured Vs Unstructured”, Datamation, 2018.
[6] C.W Tsai, C.F Lai, H.C Chao, A.V Vasilakos, “Big Data Analytics: A Survey; Journal Big Data, 2015, 2(1): 21.
[7] Y Ma , H Wu , L Wang , B Huang , R Ranjan, , A Zomaya and W Jie ; “Remote sensing big data computing”, Future Generation Computing Systems, Oct. 2015, Vol. 51, PP. 45-60.
[8] T Huang ,L Lan, X Fang , P An , J Min and F Wang , “Promises and Challenges of Big data computing in health science”, Big Data Research, 2(1), 2015, PP.2-11.
[9] M.A Khan, M.F Uddin and N Gupta , “ Seven Vs of Big data understanding”, proceedings of 2014 Zone1 conferences of American Society for Engineering Education[ASEE Zone1]- IEEE, 2014, PP.1-5.
[10] Alexandru Adrian TOLE, “Big data Challenges”, Database Systems Journal, Vol .IV. No.8.
[11] Kaislers,F Armour , J. A Espinosa, W. Money , “Big data: Issues and Challenges moving forward”, 46th Hawaii International Conference on System sciences (HICSS), 2013, PP. 995-1004.
[12] C. L Philip, Q Chen and C. Y Zhang, “Data-intensive applications, challenges and technologies: A survey on big data”, Information Sciences, 275, 2014, PP.314-347.
[13] V. Robert Zicari, “Big Data: Challenges and opportunities”, Big Data Computing Pages, 2012, PP.104-128.
[14] Y. Qian , J Liang ,W Pedrycz and C Dang , “Artificial Intelligence:, Elsevier, 2010.
[15] J. F Peters ; “Near sets- An Introduction”, Mathematics in Computer Science, March, 2013, Vol.7, Issue 1, PP.3-9.
[16] N Cagman S Enginoglu ; “Soft-set Theory and unit-int decision making”, Elsevier, 2010, 05,004.
[17] HZou , Hastie Tand, R Tibshrani ; “Sparse Principal Component Analysis”, Journal of Computational and Graphical Statistics, Vol. 15, 2006, Issues 2.
[18] Jonas Poelmans, Paul Elzinga, Stijn Viaene and Guido Didene; “Formal concept Analysis in knowledge discovery: A survey”, ICCS, 2010, Springer Link, PP.139-153.
[19] A Jacobs ; “The Pathologies of Big data”, communications of the ACM, 52(8), 2009, PP.36-44.
[20] I. A.I Hashem, I Yaqoob , N .B Anuar, A Gani , S.U. Khan; “ The rise of Big data on clod Computing: Review and Open research Issues”, Information System, 47, 2015, PP. 98-115.
[21] Uthayasankar Sivarajah, Muhammad Mustafa Kamal, Zahir Irani and Vishanth Weerakkody, “ Critical analysis of Big Data challenges and analytical methods”, Science Direct, Journal of Business Research, January 2017, PP. 263-286.
[22] A Machanavajjhala, and J. P Reiter, “Big privacy: protecting cinfidentiality in big data”, XRDS: Crossroads, The ACM Magazine for students, 19 (1) 2012, PP.20-33.

Big Data, Datasets, Data mining