Survey on Big Data and Mining Algorithm

Authors

  • Shweta Verma  Department of Computer Science & Engineering, Gyan Ganga College of Technology Jabalpur, Madhya Pradesh, India
  • Vivek Badhe  Department of Computer Science & Engineering, Gyan Ganga College of Technology Jabalpur, Madhya Pradesh, India

Keywords:

Network Traffic, Computation, Stream Data.

Abstract

An information stream is a requested arrangement of examples that can be perused just once or a little number of times utilizing constrained processing and stockpiling abilities. Numerous applications take a shot at stream information like web pursuit, system activity, phone call and so on. In this application information is persistently changing in view of time. In this paper we will examine future patterns of information digging that are utilized for examination and expectation of big data. We will talk about difficulties while performing mining on big information. Stream information is likewise alluding as constant information. Constant information produced through web, every second a huge number of information created, so how to oversee and dissect this information, we examine in this paper.

References

  1. Xindong Wu,Xingquan Zhu,Wei Ding,‖Data Mining with Big Data‖,IEEE Transactions On Knowledge And Data Engineering, Vol. 26, No. 1, January 2014
  2. Albert Bifet‖Mining Big Data in Real Time‖Informatica 37 (2013) 15–20
  3. Nawsher Khan , Ibrar Yaqoob,1 Ibrahim Abaker Targio Hashem,1 Zakira Inayat,‖Big Data: Survey, Technologies, Opportunities, and Challenges‖The Scientific World Journal Volume 2014 (2014), Article ID 712826, 18 pages
  4. Challenges and Opportunities with Big Data‖A community white paper developed by leading researchers across the United States
  5. Sherin A, Dr S Uma, Sarnya K, Sarnya Vani M, ‖Survey On Big Data Mining Platforms, Algorithms And Challenges‖, International Journal of Computer Science & Engineering Technology (IJCSET)
  6. Bharti Thakur, Manish Mann ―Data Mining for Big Data: A Review‖ ,International Journal of Advanced Research in Computer Science and Software Engineering, Volume 4, Issue 5, May 2014 ISSN: 2277 128X
  7. B. Pang and L. Lee. Opinion mining and sentiment analysis. Foundations and Trends in Information Retrieval, 2(1-2):1{135, 2008.
  8. M. Helft, Google Uses Searches to Track Flu’s Spread, The New York Times http://www.nytimes.com/2008/11/12/technology/ internet/12flu.html. 2008.

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Published

2017-12-31

Issue

Section

Research Articles

How to Cite

[1]
Shweta Verma, Vivek Badhe, " Survey on Big Data and Mining Algorithm, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 2, pp.1338-1344, March-April-2016.