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Big Data with Data Mining


P. Nandhini, M. Pavithra, R. Suganya
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Big Data relates large-volume, complex, increasing data sets with multiple independent sources. With the rapid evolution of data, data storage and the networking collection capability, Big Data are now speedily expanding in all science and engineering domains. Big Data mining is the ability of extracting constructive information from huge streams of data or datasets, that due to its variability, volume, and velocity [4]. Data mining includes exploring and analyzing big quantity of data to locate different molds for big data. Artificial intelligence (AI) and statistics are the fields which develop these techniques, This paper discusses a characterizes applications of Big Data processing model and Big Data revolution, from the data mining outlook [2]. The analysis of big data can be troublesome because it often involves the collection and storage of mixed data based on different patterns or rules (heterogeneous mixture data). This has made the heterogeneous mixture property of data a very important issue [5]. We are in a world of increasing data; the day-by-day generation of data becomes very vast. The true of it lies in collecting these data, analyze and perform some computations to obtain some meaningful information. This meaningful information can be derived using some data mining tasks [8]. In short we can call big data as a ?asset? and data mining is a “handler? that is used to provide beneficial results. To perform these analysis data mining algorithms can be used and also the big data methods [7]. The research dealt with exploration methods and tools for big data. It identifies the challenges encountered in the analysis of big data. Such huge data is now referred to as Big Data. Big data mining leads to the discovery of the useful information from huge data repositories [9]. However, this huge amount of data hinders existing data mining tools and thus creates new research challenges that open the door for new research opportunities [6]. In this paper, we provide an overview of the research challenges and opportunities of big data mining. We present the technologies and platforms that are required for mining big data. A number of applications that can benefit from mining big data are also discussed. We discuss the status of big data mining, current efforts and future research directions in the UAE [1].

P. Nandhini, M. Pavithra, R. Suganya

Big Data, Data Mining, HACE Theorem, Structured and Unstructured

  1. Xindong Wu, Xingquan Zhu, Gong Qing Wu, Wei Ding, "Data mining with Big data?, IEEE, Volume 26, Issue 1, January 2014.
  2. Bharti Thakur, Manish Mann , " Data Mining for Big Data- A Review?, IJARCSSE, Volume 4, Issue 5, May 2014.
  3. Rohit Pitre, Vijay Kolekar, ?A Survey Paper on Data Mining With Big Data?, IJIRAE, Volume 1, Issue 1, April 2014.
  4. Dr. A.N. Nandhakumar, Nandita Yambem , "A Survey of Data Mining Algorithms on Apache Hadoop Platforms?, IJETAC, Volume 4, Issue 1, January 2014.
  5. C.L. Philip Chen, C.-Y. Zhang, "Data-intensive applications, challenges, techniques and technologies: A survey on Big Data", Inform. Sci, http://dx.doi.org/10.1016/j.ins.2014.01.015,2014.
  6. Che, D., Safran, M., Peng, Z, "From Big Data to Big Data Mining: Challenges, Issues, and Opportunities", DASFAA Workshops, LNCS 7827, pp. 1–15, 2013.
  7. H.V. Jagadish, "Big data and science: myths and reality", Big Data Research, vol. 2(2), pp. 49–52, 2015.
  8. X. Jin, B.V. Wah, X. Cheng, and Y. Wang, "Significance and challenges of big data research", Big Data Research, vol. 2(2), pp. 59–64, 2015.
  9. C. Sherman, "What's the big deal about big data?" Online Searcher 38.2. ProQuest Central, pp.10–17, 2014.
  10. Albert Bifet, "Mining Big data in Real time", Informatica 37, pp15-20, 2013.
  11. Richa Gupta, "Journey from data mining to Web Mining to Big Data", IJCTT, 10(1), pp18-20, 2014.
  12. Priya P. Sharma, Chandrakant P. Navdeti, "Securing Big Data Hadoop: A Review of Security Issues, Threats and Solution", IJCSIT, 5(2), pp2126-2131, 2014.

Publication Details

Published in : Volume 4 | Issue 9 | July-August - 2018
Date of Publication Print ISSN Online ISSN
2018-07-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
44-50 IJSRSET184911   Technoscience Academy

Cite This Article

P. Nandhini, M. Pavithra, R. Suganya, "Big Data with Data Mining", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 9, pp.44-50, July-August-2018.
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