In 2006, the IEEE Conference on Data Mining identified 10 top algorithms [Ref: http://www.cs.uvm.edu/~ic
dm/algorithms/index.shtml ]. Are these still valid? Are there new algorithms that have found sweet spots in the industry?
Those top-10 algorithms for reference:
- Support Vector Machines (SVM)
- Expectation Maximization (EM)
- k-Nearest Neighbors (kNN)
- Naive Bayes
- Classification and Regression Tree (CART)