Comparison of AIS and fuzzy c-means clustering methods on the classification of breast cancer and diabetes datasets-Reference-Cited by-同舟云学术

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Comparison of AIS and fuzzy c-means clustering methods on the classification of breast cancer and diabetes datasets

Published:2014 Issue: Volume:22 Page:1241-1254
ISSN:1300-0632
Container-title:TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES
language:
Short-container-title:Turk J Elec Eng & Comp Sci

Author:

ÖZŞEN Seral,CEYLAN Rahime

Publisher

The Scientific and Technological Research Council of Turkey (TUBITAK-ULAKBIM)

Subject

Electrical and Electronic Engineering,General Computer Science

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Artificial Intelligence in Breast Cancer Diagnosis: A Review;Learning and Analytics in Intelligent Systems;2024

2. Automated classification of BI-RADS in textual mammography reports;TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES;2021-03-30

3. Exploration of Outliers in If-Then Rule-Based Knowledge Bases;Entropy;2020-09-29

4. A Computational-Intelligence Based Approach to Diagnosis of Diabetes Mellitus Disease;13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing — ICAFS-2018;2018-12-29

5. Instance Selection by Identifying Relevant Events Using Domain Knowledge and Minimal Human Involvement;2016 IEEE 18th Conference on Business Informatics (CBI);2016-08

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