The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Breast cancer diagnosis based on feature extraction using a hybrid of K-means and support vector machine algorithms
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Citations
Cites
Cortes, C., & Vapnik, V. (1995) · Machine Learning · doi:10.1007/bf00994018 · Cited by 59,421
Jain, A. K., Murty, M. N., & Flynn, P. J. (1999) · ACM Computing Surveys · doi:10.1145/331499.331504 · Cited by 13,199
Siegel, R., Naishadham, D., & Jemal, A. (2012) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.20138 · Cited by 10,679
Data clustering: 50 years beyond K-means
Jain, A. K. (2010) · Pattern Recognition Letters · doi:10.1016/j.patrec.2009.09.011 · Cited by 9,368
Survey of Clustering Algorithms
Xu, R., & WunschII, D. (2005) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2005.845141 · Cited by 6,197
Advances in kernel methods: support vector learning
Schölkopf, B., Burges, C. J. C., & Smola, A. J. (1999) · doi:10.5555/299094 · Cited by 5,789
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Furey, T. S., Cristianini, N., Duffy, N., Bednarski, D. W., Schummer, M., & Haussler, D. (2000) · Bioinformatics · doi:10.1093/bioinformatics/16.10.906 · Cited by 2,443
Data mining: an overview from a database perspective
Chen, M.-S., Han, J., & Yu, P. S. (1996) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/69.553155 · Cited by 2,232
Cited by
Machine-learning-based disease diagnosis: a comprehensive review
Ahsan, M. M., Luna, S. A., & Siddique, Z. (2022) · Healthcare · doi:10.3390/healthcare10030541 · Cited by 603
Machine learning technology in biodiesel research: A review
Aghbashlo, M., Peng, W., Tabatabaei, M., Kalogirou, S. A., Soltanian, S., Hosseinzadeh-Bandbafha, H., Mahian, O., & Lam, S. S. (2021) · Progress in Energy and Combustion Science · doi:10.1016/j.pecs.2021.100904 · Cited by 426
Self-citationDeep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review
Houssein, E. H., Emam, M. M., Ali, A. A., & Suganthan, P. N. (2021) · Expert Systems with Applications · doi:10.1016/j.eswa.2020.114161 · Cited by 404
An analytical method for diseases prediction using machine learning techniques
Nilashi, M., Ibrahim, O. B., Ahmadi, H., & Shahmoradi, L. (2017) · Computers & Chemical Engineering · doi:10.1016/j.compchemeng.2017.06.011 · Cited by 190
Health Big Data Analytics: A Technology Survey
Harerimana, G., Jang, B., Kim, J. W., & Park, H. K. (2018) · IEEE Access · doi:10.1109/access.2018.2878254 · Cited by 119
Metadata
- Authors
- Zheng, B., Yoon, S. W., & Lam, S. S.
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2014-03
- Volume
- 41
- Issue
- 4
- Pages
- 1476-1482
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W2069914810
- Cited by
- 549
- References
- 24
- FWCI
- 29.90
- Type
- journal article
- Language
- en
- Open access
- closed
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Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Breast cancer diagnosis based on feature extraction using a hybrid of K-means and support vector machine algorithms. https://app.cochat.ai/papers/10.1016/j.eswa.2013.08.044
- The paper
- Zheng, B., Yoon, S. W., & Lam, S. S. (2014). Breast cancer diagnosis based on feature extraction using a hybrid of K-means and support vector machine algorithms. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2013.08.044
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
