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Literature Review on Tools & Applications of Data Mining

Anshu Shrivastava1 , Jay Kumar Jain2 , Dipti Chauhan3

  1. SIRT, Bhopal, India.
  2. SIRT, Bhopal, India.
  3. CSE, PIEMR, Indore, India.

Section:Review Paper, Product Type: Journal Paper
Volume-11 , Issue-4 , Page no. 46-54, Apr-2023

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v11i4.4654

Online published on Apr 30, 2023

Copyright © Anshu Shrivastava, Jay Kumar Jain, Dipti Chauhan . 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: Anshu Shrivastava, Jay Kumar Jain, Dipti Chauhan, “Literature Review on Tools & Applications of Data Mining,” International Journal of Computer Sciences and Engineering, Vol.11, Issue.4, pp.46-54, 2023.

MLA Style Citation: Anshu Shrivastava, Jay Kumar Jain, Dipti Chauhan "Literature Review on Tools & Applications of Data Mining." International Journal of Computer Sciences and Engineering 11.4 (2023): 46-54.

APA Style Citation: Anshu Shrivastava, Jay Kumar Jain, Dipti Chauhan, (2023). Literature Review on Tools & Applications of Data Mining. International Journal of Computer Sciences and Engineering, 11(4), 46-54.

BibTex Style Citation:
@article{Shrivastava_2023,
author = {Anshu Shrivastava, Jay Kumar Jain, Dipti Chauhan},
title = {Literature Review on Tools & Applications of Data Mining},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2023},
volume = {11},
Issue = {4},
month = {4},
year = {2023},
issn = {2347-2693},
pages = {46-54},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5560},
doi = {https://doi.org/10.26438/ijcse/v11i4.4654}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v11i4.4654}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5560
TI - Literature Review on Tools & Applications of Data Mining
T2 - International Journal of Computer Sciences and Engineering
AU - Anshu Shrivastava, Jay Kumar Jain, Dipti Chauhan
PY - 2023
DA - 2023/04/30
PB - IJCSE, Indore, INDIA
SP - 46-54
IS - 4
VL - 11
SN - 2347-2693
ER -

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Abstract

There are many new disciplines that have emerged as a result of technological advancement. Every day, enormous amounts of data are produced in many different areas, including science, engineering, health, and business. Data mining is a technique for gathering data from various sources and organizing it to produce insightful conclusions. Companies’ today look to stay ahead of the competition by making it a priority to keep up with all new developments in data science and analytics. This paper explains data mining`s applications in various areas as well as its methods and tools. This study concentrated on different data mining tools that are beneficial and identified as key fields of data mining technology. We are aware of the numerous domestic and international businesses, as well as small and big organizations.

Key-Words / Index Term

Data mining, Data set, KDD, Tools & Techniques, Rapid Miner, Weka, KNIME

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