A Review on Breast Cancer Detection Using Data Mining Techniques

Authors(2) :-Ahmad Zubair Zarbi, Prof. Rajvi Parkh

In Today's Data Mining focuses on the discovery of previously unknown properties in the data It does not need a specific goal from the domain but instead focus on finding new and interesting knowledge. Mining provides useful information from the huge volume of the data stored in repositories the present study focus on implementing three different algorithms using the data mining WEKA. The Algorithms in the study include Na´ve Byes, J48 Decision Tree and One R. All these well-known familiar Algorithms are used in classification rule mining Techniques. Dataset are collected also, these collected datasets are pre-processed and then used for implementing the Algorithm. The different types of Algorithms are executed using the collected datasets; the results are shown in separate window as graphical.

Authors and Affiliations

Ahmad Zubair Zarbi
Department of Information & Technology, GCET,Vidanager, Gujarat, India
Prof. Rajvi Parkh
Department of Information & Technology, GCET,Vidanager, Gujarat, India

Breast cancer, J48 Decision Tree, Na´ve Byes, One R , Artificial Neural Network, Classification ,Weka.

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Publication Details

Published in : Volume 3 | Issue 5 | May-June 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 28-33
Manuscript Number : CSEIT1833470
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Ahmad Zubair Zarbi, Prof. Rajvi Parkh, "A Review on Breast Cancer Detection Using Data Mining Techniques ", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 5, pp.28-33, May-June-2018.
Journal URL : http://ijsrcseit.com/CSEIT1833470

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