Volume- 1
Issue- 2
Year- 2013
Article Tools: Print the Abstract | Indexing metadata | How to cite item | Email this article | Post a Comment
Mrs. Deepali Kishor Jadhav
Big Data is a new term used to identify the datasets but due to their large size and complexity, we cannot manage them with our current methodologies or data mining software tools. With the fast development of networking, data storage, and the data collection capacity, Big Data is now rapidly expanding in all science and engineering domains, including physical, biological and biomedical sciences. Big Data mining is the capability of extracting useful information from these large datasets or streams of data, that due to its volume, variability, and velocity, it was not possible before to do it. The Big Data challenge is becoming one of the most exciting opportunities for the next years. This paper represents a broad overview of the topic, Big Data challenges, Data Mining Challenges with Big Data, Big Data processing framework and forecast to the future
[1] Sam Madden • Massachusetts Institute of Technology From Database to Big Data,IEEE,2012
[2] P. C. Zikopoulos, C. Eaton, D. deRoos, T. Deutsch, and G. Lapis, Understanding big data – Analytics for enterprise class Hadoop and streaming data, McGraw-Hill, 2012.
[3] Shan Suthaharan , Big Data Classification: Problems and Challenges in Network Intrusion Prediction with Machine Learning.
[4] Neal Leavitt,”Storage Challenges: Where Will Att That Big Data Go?”, 0018-9162/13/$31.00 © , 2013 IEEE.
[5] I. Muttik and C. Barton. "Cloud security technologies," information security technical report 14.1: 1-6, 2009.
[6] S. Carlin and K. Curran. "Cloud Computing Technologies." International Journal of Cloud Computing and Services Science (IJCLOSER) 1.2: 59-65, 2012.
[7] P. C. Wong, H. W. Shen, C. R. Johnson, C. Chen, and R. B. Ross, “The Top 10 Challenges in Extreme-Scale Visual Analytics,” Computer Graphics and Applications, IEEE, 32(4), 63-67, 2012.
[8] Xindong Wu,, Xingquan Zhu, Gong-Qing Wu, Wei Ding, “Data Mining with Big Data”, 1041-4347/13, 2013 IEEE
[9] Wei Fan, Albert Bifet, “ Mining Big Data: Current Status, and Forecast to the Future”, SIGKDD Explorations, Volume 14, Issue 2
[10] V. Gopalkrishnan, D. Steier, H. Lewis, and J. Guszcza.Big data, big business: bridging the gap. In Proceed-ings of the 1st International Workshop on Big Data,Streams and Heterogeneous Source Mining: Algorithms,Systems, Programming Models and Applications, Big-Mine '12, pages 7{11, New York, NY, USA, 2012. ACM.
[11] C. Parker. Unexpected challenges in large scale machine learning. In Proceedings of the 1st International Work- shop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, BigMine '12, pages 1{6, New York,NY, USA, 2012. ACM.
[12] N. Marz and J. Warren. Big Data: Principles and best practices of scalable realtime data systems. Manning Publications, 2013.
[13] B. Efron. Large-Scale Inference: Empirical Bayes Meth- ods for Estimation, Testing, and Prediction. Institute of Mathematical Statistics Monographs. Cambridge University Press, 2010.
[14] D. Feldman, M. Schmidt, and C. Sohler. Turning big data into tiny data: Constant-size coresets for k-means, pca and projective clustering. In SODA, 2013.
[15] J. Gama. Knowledge Discovery from Data Streams. Chapman & all/Crc data Mining and Knowledge Discovery. Taylor & Francis Group, 2010.
[16] J. Gantz and D. Reinsel. IDC: The Digital Universe in 2020: Big Data, Bigger Digital Shadows, and Biggest Growth in the Far East. December 2012.
[17] R. Smolan and J. Erwitt. The Human Face of Big Data. Sterling Publishing Company Incorporated, 2012.
[18] Katina Michael, Keith W. Miller, “ Big Data: New Opportunities and New Challenges”, IEEE Computer Society 0018-9162/13/$31.00 © 2013 IEEE
Assistant professor, Department of Computer Science and Engineering, K.I.T.’s College of Engineering, Kolhapur. Maharahtra, India.(e-mail:Deepkjadhav80@gmail.com)
No. of Downloads: 40 | No. of Views: 2638
Anu Sharma, Vivek Kumar.
May 2023 - Vol 11, Issue 3
Heemakshi Sharma, Khushboo Tripathi.
May 2023 - Vol 11, Issue 3
Aditya Kumar Tripathi, Anu Sharma.
May 2023 - Vol 11, Issue 3
