Web-Mining Agents (CS5131)
Lecturer: Prof. Dr. rer.nat. Ralf Möller
Contents (Data Mining):
- Introduction, Data Models vs. Algorithmic Models (Breiman) (pdf, ppt, pptx)
- Uncertainty (pdf, ppt, pptx)
- Bayesian Networks (pdf, ppt, pptx)
- Learning Bayesian Networks (pdf, ppt pptx)
- Decision Trees (ID3, C4.5, CART), Rule Learning, Version Spaces (pdf, ppt, pptx)
- Association Rules, Basket Analysis, A-Priori Algorithm, Recommender Systems: Content-based Systems & Collaborative Filtering, Latent Factors (pdf, ppt, pptx)
- Knowledge in Learning, First-Order Inductive Learning, Relational Learning (pdf, ppt, pptx)
- Learning Probabilistic Relational Models (pdf, ppt, pptx)
- Classification (neural networks, support vector machines) (pdf, ppt, pptx)
- Generative vs. discriminative models (logistic regression, markov networks, conditional random fields) (pdf, ppt, pptx)
- Augmenting Probabilistic Graphical Models with Ontology Information (pdf, ppt, pptx)
- Ensemble Learning: Bagging, Random Forests, Boosting (AdaBoost) (pdf, ppt,, pptx)
- Computational Learning Theory (PAC Learning, VC Dimension) (pdf, ppt, pptx)
- Transfer Learning (pdf, ppt, pptx)
- Unsupervised Learning: Clustering (dendrograms, k-means, kernel density estimation, Parzen windows, nearest-neighbor classification, spectral clustering, dimension reduction) (pdf, ppt, pptx)
- Semi-supervised Learning (pdf, ppt, pptx)
- Contents (Web Mining Agents):
- Introduction (pdf, ppt, pptx)
- Information Retrieval, Vector Space Model, Latent Semantic Indexing, Principle Component Analysis (pdf, ppt, pptx)
- Probabilistic Information Retrieval (pdf, ppt, pptx)
- Probabilistic Reasoning Over Time (pdf, ppt, pptx)
- Topic Detection (pdf, ppt, pptx)
- Community Analysis (pdf, ppt, pptx)
- Simple Decision Making (pdf, ppt, pptx)
- Complex Decision Making (Markov Decision Problem, MDP), Decision Making Under Uncertainty (Partially Observable Markov Decision Problem, POMDP) (pdf, ppt, pptx)
- Reinforcement and Adaptation (pdf, no ppt for this part)
- Transfer in Reinforcement Learning (pdf, ppt, pptx)
- Game Theory and Social Choice (pdf, ppt, pptx)
- Mechanism Design and Collaboration (pdf, ppt, pptx)