Navigazione di Sezione:
Web Mining And Retrieval 2015/2016
Programma
Section I: Machine Learning: Kernel-based Learning and Deep Neural Networks.
Introduction to Supervised and Unsupervised Machine Learning methods.
Clustering. Semantic Similarity metrics. Agglomerative clustering methods.
Markov Models. Hidden Markov Models.
Kernel-based Learning. String and Tree kernels. Semantic kernels.
Deep Neural Network architectures: from multilayer perceptrons to convolutional neural networks.
Machine Learning Applications.
Section II: Web Mining & Retrieval.
Ranking Models for the Web.
Introduction to Social Network Analysis: rank, centrality. Random walk models: Page Rank.
Web Search Engines. SEO. Google.
Open-domain Information Extraction. Social Web.
Graph-based algorithms for community detection. Introduction to Opinion Mining and Sentiment Analysis.