IEEE Style Citation: Srinivasa Rao Putta, “Comparative Analysis of Data Mining With Big Data Using WEKA Software Tool,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.6, pp.713-715, 2019.
MLA Style Citation: Srinivasa Rao Putta "Comparative Analysis of Data Mining With Big Data Using WEKA Software Tool." International Journal of Computer Sciences and Engineering 7.6 (2019): 713-715.
APA Style Citation: Srinivasa Rao Putta, (2019). Comparative Analysis of Data Mining With Big Data Using WEKA Software Tool. International Journal of Computer Sciences and Engineering, 7(6), 713-715.
BibTex Style Citation:
@article{Putta_2019,
author = {Srinivasa Rao Putta},
title = {Comparative Analysis of Data Mining With Big Data Using WEKA Software Tool},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2019},
volume = {7},
Issue = {6},
month = {6},
year = {2019},
issn = {2347-2693},
pages = {713-715},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4617},
doi = {https://doi.org/10.26438/ijcse/v7i6.713715}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i6.713715}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4617
TI - Comparative Analysis of Data Mining With Big Data Using WEKA Software Tool
T2 - International Journal of Computer Sciences and Engineering
AU - Srinivasa Rao Putta
PY - 2019
DA - 2019/06/30
PB - IJCSE, Indore, INDIA
SP - 713-715
IS - 6
VL - 7
SN - 2347-2693
ER -
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Abstract
Big data has become more popular as people and organizations realize the importance and the value that the data has in formulating important information. As the data continue to increase, some challenges arise on the methods or techniques that are needed to be used in extracting meaningful information from the big data. Increase in data has led the researchers to make expansions on the existing data mining techniques to help with adapting to the evolving nature of big data thus leading to the development of new analytical techniques. Research has led to the development of various data mining techniques used on big data. It is, therefore, necessary to evaluate and compare different data mining techniques for big data.
Key-Words / Index Term
Data Mining, Big Data, WEKA Software Tool
References
[1] The Baheti, A., & Toshniwal, D. (2014). Trend Analysis of Time Series Data Using Data Mining Techniques. 2014 IEEE International Congress on Big Data. doi:10.1109/bigdata.congress.2014.69
[2] Garg, S., & K. Sharma, A. (2013). Comparative Analysis of Various Data Mining Techniques on Educational Datasets. International Journal of Computer Applications, 74(5), 1-5. doi:10.5120/12878-9673
[3] Gole, S., & Tidke, B. (2015). A survey of big data in social media using data mining techniques. 2015 International Conference on Advanced Computing and Communication Systems. doi:10.1109/icaccs.2015.7324059
[4] Jamil, J. M., & Shaharanee, I. N. (2014). Comparative analysis of data mining techniques for business data. doi:10.1063/1.4903641
[5] Shobanadevi, A., & Maragatham, G. (2017). Data mining techniques for IoT and big data — A survey. 2017 International Conference on Intelligent Sustainable Systems (ICISS). doi:10.1109/iss1.2017.8389260
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