大数据之数据挖掘课程：海量数据集挖掘 19-submodular 共54页.pdf

【课程大纲】 01-Mapreduce 02-关联规则 Association rules 03-LSH Finding Similar Items：Locality Sensitive Hashing 04-LSH theory of Locality Sensitive Hashing 05-聚类算法 clustering 06-降维技术 Dimensionality Reduction：SVD&CUR 07-推荐系统 Recommender Systems：Content-based Systems&Collaborative Filtering recsys1 08-双边序列推荐 recsys2 Recommender Systems：Latent Factor Models 09-PageRank 10-WebSpam 11-图论 graphs1 12-图论 graphs2 13-大规模机器学习 Large Scale Machine Learning：SVMs 14-决策树 Decision Trees on MapReduce 15-streams 16-streams 17-advertising 18-bandits 19-submodular 20-review