TY  - JOUR
TI  - A Review on Breast Cancer Detection Using Data Mining Techniques 
AU  - Ahmad Zubair Zarbi
AU  -  Prof. Rajvi Parkh
JO  - International Journal of Scientific Research in Computer Science, Engineering and Information Technology
PB  - Technoscience Academy
DA  - 2018/04/30
PY  - 2018
DO  - https://doi.org/10.32628/IJSRCSEIT
UR  - https://ijsrcseit.com/CSEIT1833470
VL  - 3
IS  - 5
SP  - 28	
EP  - 33
AB  - 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 Naïve 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.