Analyzing Factors Affecting the Performance of Data Mining Tools-Reference-Cited by-同舟云学术

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Analyzing Factors Affecting the Performance of Data Mining Tools

Published:2017 Issue: Volume: Page:206-217
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
Short-container-title:

Author:

Kaur Balrajpreet,Sharma Anil

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-5780-9_19

Reference21 articles.

1. Rnageri, B.: Data mining techniques and applications. Indian J. Comput. Sci. Eng. (2010)

2. Agrawal, H., Agrawal, P.: Review on data mining tools. IJISET 1, 52–56 (2014)

3. Kumar, R., Verma, R.: Classification algorithm for data mining: a survey. IJIET 1, 7–14 (2012)

4. Joshi, A., Pandey, N., Chawla, R., Patil, P.: Use of data mining techniques to improve the effectiveness of sales and marketing. IJCSMC 4 (2015)

5. Patel, S., Desai, S.: A comparative study on data mining tools. IJATCSE (2015)

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1. Random forest and logistic regression algorithms: A comparison of their performance;AIP Conference Proceedings;2023

2. Comparative Performance Analysis of Random Forest and Logistic Regression Algorithms;2020 5th International Conference on Computer Science and Engineering (UBMK);2020-09

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