My PPT:

•Introduction of Data and Knowledge Enginerring Lab   [PDF]
• Topic Model   [PDF]
• Hidden Markov Chain and Bayesian Belief Networks   [PDF]
• Social Recommender System   [PDF]
• Learning to Recommend with User Generated Content   [PDF]
• Aggregation Computation over Distributed Data Streams   [PDF]
• Random Thoughts about Clustering  [PDF]
• Non-parametric Bayesian Learning (Dirichlet Process and its Extensions)  [PDF]
• Text Clustering (Information Retrieval, in Chinese)  [PDF]
• Thinking in (Text) Clustering  [PDF]