Top 10 algorithms in data mining

@article{Wu2007Top1A,
  title={Top 10 algorithms in data mining},
  author={X. Wu and V. Kumar and J. R. Quinlan and Joydeep Ghosh and Qiang Yang and H. Motoda and G. McLachlan and Angus F. M. Ng and B. Liu and Philip S. Yu and Z. Zhou and M. Steinbach and D. Hand and D. Steinberg},
  journal={Knowledge and Information Systems},
  year={2007},
  volume={14},
  pages={1-37}
}
This paper presents the top 10 data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) in December 2006: C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART. [...] Key Method With each algorithm, we provide a description of the algorithm, discuss the impact of the algorithm, and review current and further research on the algorithm. These 10 algorithms cover classification, clustering, statistical learning, association analysis, and link mining…Expand
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