Diagnosis of Breast Cancer Pathology on the Wisconsin Dataset with the Help of Data Mining Classification and Clustering Techniques

Walid Theib Mohammad, Ronza Teete, Heyam Al-Aaraj, Yousef Saleh Yousef Rubbai, Majd Mowafaq Arabyat

DOI: 10.1155/2022/6187275
Published: 2022-04-01
Container: Applied Bionics and Biomechanics
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1155/2022/6187275,
  title = {Diagnosis of Breast Cancer Pathology on the Wisconsin Dataset with the Help of Data Mining Classification and Clustering Techniques},
  author = {Walid Theib Mohammad and Ronza Teete and Heyam Al-Aaraj and Yousef Saleh Yousef Rubbai and Majd Mowafaq Arabyat},
  year = {2022},
  journal = {Applied Bionics and Biomechanics},
  doi = {10.1155/2022/6187275},
  url = {https://doi.org/10.1155/2022/6187275}
}

RIS

TY  - JOUR
TI  - Diagnosis of Breast Cancer Pathology on the Wisconsin Dataset with the Help of Data Mining Classification and Clustering Techniques
AU  - Walid Theib Mohammad
AU  - Ronza Teete
AU  - Heyam Al-Aaraj
AU  - Yousef Saleh Yousef Rubbai
AU  - Majd Mowafaq Arabyat
PY  - 2022
JO  - Applied Bionics and Biomechanics
DO  - 10.1155/2022/6187275
UR  - https://doi.org/10.1155/2022/6187275
ER  -

APA

Mohammad, W. T., Teete, R., Al-Aaraj, H., Rubbai, Y. S. Y., & Arabyat, M. M. (2022). Diagnosis of Breast Cancer Pathology on the Wisconsin Dataset with the Help of Data Mining Classification and Clustering Techniques. Applied Bionics and Biomechanics. https://doi.org/10.1155/2022/6187275

Source records

crossref · retrieved 2026-09-25T05:06:22.562Z