Algorithms are the core problems during data mining, different data sets and different mining questions may require different algorithms for solution. According to this book I’m reading these days, here are the top 10 algorithms for data mining.
| ID | Algorithm | Application |
|---|---|---|
| 1 | C4.5 | Classification |
| 2 | K-means | Clustering |
| 3 | SVM | Statistical Learning |
| 4 | Apriori | Association Analysis |
| 5 | EM | Statistical Learning |
| 6 | PageRank | Link Mining |
| 7 | Adaboost | Ensemble Learning |
| 8 | KNN | Classification |
| 9 | Navie | Bayes Classification |
| 10 | CART | Classification |
They are useful. And we’ll continue to focus on them.