1.association rule mining： brief apriori， FP Tree等；recommanding: content based filtering, collaborative filtering,hybrid
2.clustering:BIRCH,CURE，k-means，model based, EM clustering；classifying： L1，L2，regulation等
3.ensemble: bagging(Adaboost),boosting(Gradient Boosting), Random Forests,stacking,bias-variaces(why ensembling)
4.mining sequence: freeSpan,prefixSpan
5.time series: Z-normalization, DTW, LCSS等
6.semi-supervised learning: self-training, co-training,selective sampling,等；active learning等