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Comparative Study of Different Classification Algorithms for Stream Data Mining Using MOA

Ashish P. Joshi1 , Biraj V. Patel2

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-11 , Page no. 614-616, Nov-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i11.614616

Online published on Nov 30, 2018

Copyright © Ashish P. Joshi, Biraj V. Patel . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Ashish P. Joshi, Biraj V. Patel, “Comparative Study of Different Classification Algorithms for Stream Data Mining Using MOA,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.11, pp.614-616, 2018.

MLA Style Citation: Ashish P. Joshi, Biraj V. Patel "Comparative Study of Different Classification Algorithms for Stream Data Mining Using MOA." International Journal of Computer Sciences and Engineering 6.11 (2018): 614-616.

APA Style Citation: Ashish P. Joshi, Biraj V. Patel, (2018). Comparative Study of Different Classification Algorithms for Stream Data Mining Using MOA. International Journal of Computer Sciences and Engineering, 6(11), 614-616.

BibTex Style Citation:
@article{Joshi_2018,
author = {Ashish P. Joshi, Biraj V. Patel},
title = {Comparative Study of Different Classification Algorithms for Stream Data Mining Using MOA},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {11 2018},
volume = {6},
Issue = {11},
month = {11},
year = {2018},
issn = {2347-2693},
pages = {614-616},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3213},
doi = {https://doi.org/10.26438/ijcse/v6i11.614616}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i11.614616}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3213
TI - Comparative Study of Different Classification Algorithms for Stream Data Mining Using MOA
T2 - International Journal of Computer Sciences and Engineering
AU - Ashish P. Joshi, Biraj V. Patel
PY - 2018
DA - 2018/11/30
PB - IJCSE, Indore, INDIA
SP - 614-616
IS - 11
VL - 6
SN - 2347-2693
ER -

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Abstract

In the today’s world, the data is much important and it is growing rapidly. It requires some intelligent analysis processing that helps to discover some knowledge from it. These massive data can be processed by the some framework like MOA (Massive Online Analysis). It has predefined data stream mining classification techniques which are used to distribute the data depends on its class. Some of these techniques like Hoeffding Tree, Decision Stump or Naive Bayes are well known. Comparative study of these techniques analyzes same type of data and compares the output. Which gives idea about different algorithms can be used for different purpose.

Key-Words / Index Term

Stream mining, Hoeffding Tree, Decision Stump, Naive Bayes, Classification, Massive Online Analysis (MOA)

References

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[4]. https://www.cs.waikato.ac.nz/~abifet/MOA/ StreamMining.pdf
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