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Comparative Analysis of Data Mining Techniques

Shaganpreet Kaur1 , Chinu 2

  1. C.S.E, Baba Farid College of Engineering and Technology, Bathinda, Punjab.
  2. C.S.E, Baba Farid College of Engineering and Technology, Bathinda, Punjab.

Section:Review Paper, Product Type: Journal Paper
Volume-6 , Issue-4 , Page no. 301-304, Apr-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i4.301304

Online published on Apr 30, 2018

Copyright © Shaganpreet Kaur, Chinu . 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: Shaganpreet Kaur, Chinu, “Comparative Analysis of Data Mining Techniques,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.4, pp.301-304, 2018.

MLA Style Citation: Shaganpreet Kaur, Chinu "Comparative Analysis of Data Mining Techniques." International Journal of Computer Sciences and Engineering 6.4 (2018): 301-304.

APA Style Citation: Shaganpreet Kaur, Chinu, (2018). Comparative Analysis of Data Mining Techniques. International Journal of Computer Sciences and Engineering, 6(4), 301-304.

BibTex Style Citation:
@article{Kaur_2018,
author = {Shaganpreet Kaur, Chinu},
title = {Comparative Analysis of Data Mining Techniques},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2018},
volume = {6},
Issue = {4},
month = {4},
year = {2018},
issn = {2347-2693},
pages = {301-304},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1888},
doi = {https://doi.org/10.26438/ijcse/v6i4.301304}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i4.301304}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1888
TI - Comparative Analysis of Data Mining Techniques
T2 - International Journal of Computer Sciences and Engineering
AU - Shaganpreet Kaur, Chinu
PY - 2018
DA - 2018/04/30
PB - IJCSE, Indore, INDIA
SP - 301-304
IS - 4
VL - 6
SN - 2347-2693
ER -

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Abstract

Data mining is the area of research, which means that useful information or knowledge is extracted from previous data. Data mining defines large amounts of data as a process of finding information such as super market data for various technologies used for data mining, such as science, research, medicine, media, web, entertainment and many other areas, which is implemented with various goods, data mining model data warehouses and online analytical resources. Data mining has made a immense advancement in recent year but the problem of lost data has remained a big challenge for data mining algorithms. This paper analyzed the predictive and descriptive techniques such as classification, regression time series analysis ,predication and clustering, summarization, association rules, sequence discovery techniques on the basis of algorithms which is used to predict previously unidentified class of objects.

Key-Words / Index Term

Data mining, Data mining techniques: Predictive and Descriptive DM techniques

References

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