Main Article Content

Aman taneja
Kamna Solanki
Dr. Sandeep Dalal


Big Data is the relationship of data size and its processing speed. These are so big and complex that traditional data processing software is inadequate. These days it’s a high challenge to construct architecture to take out information cost-effectively from huge, volume of data at remarkable rate. So, there is a need to find economical and valuable solutions for the major challenges of fatly growing volume and concern. Through this paper, we can become proficient in big data analytics, its tools and application areas. It also presents uncertainty issues related to Big Data for which the solution we provided by combining fuzzy and neural network concepts to assemble a new intelligent system ANFIS that has brought together tendency to get the results by relating knowledge representation, uncertainty and modeling the key feature of big data to provide a superlative solution.


Download data is not yet available.

Article Details

Author Biographies

Aman taneja, University Institute of technology

Computer Science & Engineering

Kamna Solanki, UIET, MDU

Computer Science & Engneering


. M. Vijayalakshmi, " Big Data Analytics Frameworks Parth Chandarana" , International Conference on Circuits, Systems, Communication and Information Technology Applications,(CSCITA),DOI: 10.1109/CSCITA.2014.6839299

. Amir Gandomi, Murtaza Haider,Ted Rogers, “Beyond the hype: Big data concepts, methods, and analyticsâ€, International Journal of Information Management, 0268-4012/© 2014.

. B. Saraladevia, N. Pazhanirajaa, P. Victer Paula, M.S. Saleem Bashab, P. Dhavachelvanc, “Big Data and Hadoop-A Study in Security Perspectiveâ€,2nd International Symposium on Big Data and Cloud Computing (ISBCC’15)

. Xue Qin,Brian Kelley,Mahdy Saedy, “A Fast Map-Reduce Algorithm for Burst Errors in Big Data Cloud Storageâ€, 10th System of Systems Engineering Conference (SoSE) 2015 978-1-4799-7611-9/15/$31.00 ©2015 IEEE

.Fazal-e-Amin, Abdullah S. Alghamdi, Iftikhar Ahmad, Tazar Hussain,†Big Data for C4I Systems: Goals, Applications, Challenges and Tools†Fifth international conference on Innovative Computing Technology, 978-1-4673-7551-1/ 15/$31.00© 2015 IEEE

. U. Selvi, Dr. S. Pushpa, “ A Review of Big Data and Anonymization Algorithmsâ€, International Journal of Applied Engineering Research ISSN 0973-4562 Volume 10, Number 17 (2015)

. J. Dean and S. Ghemawat, “Mapreduce: simplified data processing on large clusters,†Commun. ACM, vol. 51, pp. 107–113, January 2008

. “Apache hadoop.† Hadoop.

. “Yahoo hadoop tutorial.†


. S. Manoharan, “Effect of task duplication on the assignment of dependency graphs,†Parallel Comput., vol. 27, pp. 257–268, February 2001.

. Dr. Siddaraju1, Sowmya C L2, Rashmi K3, Rahul M, “Efficient Analysis of Big Data Using Map Reduce Framework “, International Journal of Recent Development in Engineering and Technology ISSN 2347-6435(Online) Volume 2, Issue 6, June 2014

. Hadoop Distributed File System (HDFS),

. B.Tulasi, “ Significance of Big Data and Analytics in Higher Educationâ€, International Journal of Computer Applications (0975 – 8887) Volume 68– No.14, April 2013

. Sanjay Ghemawat, Howard Gobioff, and Shun-Tak Leung. The Google _le system. In 19th Symposium on Operating Systems Principles, pages 29.43, Lake George,

New York, 2003.

. S.Sangeetha, A.K Sreeja, “Science No Humans, No New Technologies No changes "Big Data a Great Revolution"â€, S.Sangeetha et al, / (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 6 (4) , 2015, 3269-3274

. Big Data for C4I Systems: Goals, Applications,Challenges and Tools Fazal-e-Amin, Abdullah S. Alghamdi, Iftikhar Ahmad, Tazar Hussain, Fifth international conference on Innovative Computing Technology (INTECH 2015) 978-1-4673-7551-1/15/$31.00© 2015 IEEE

. Hajar Mousanif,Hasna Sabah, Yasmina Douiji, Younes Oulad Sayad OSER, “From Big Data to Big Projects: a Step-by-step Roadmapâ€, 2014 International Conference on Future Internet of Things and Cloud 978-1-4799-4357-9/14 $31.00 © 2014 IEEE DOI 10.1109/FiCloud.2014.66


. F. Barouni, *, B. Moulin, "An Intelligent Atial Proximity System Using Neurofuzzy Classifiers And Contextual Information "

The International Archives Of The Photogrammetry, Remote Sensing And Spatial Information Sciences, Volume Xl-2, 2014 Isprs Technical Commission Ii Symposium, 6 – 8 October 2014

. A. Abraham ,Adaptation of Fuzzy Inference System

Using Neural Learning,Chapter 3

. Shubhangi G. Khadse, “A Survey of Data Uncertainty in Face Recognition “,International Journal of Computer Science and Information Technologies, Vol. 5 (6) , 2014, 7623-7625