VIDEO-SERVER

Data and Web Mining

von Prof. Dr. Barbara Hammer

\

Beschreibung

Die Vorlesung behandelt wichtige Techniken des Data und Web-Minings. Es werden grundlegende Algorithmen behandelt und in praktikschen Übungen umgesetzt. Einzelne Themen sind:
überwachtes Lernen: Entscheidungsbäume, Bayessche Inferenz, Diskriminanzanalyse, Graphische Modelle
unüberwachtes Lernen: a priori Algorithmus, Generative Modelle, Hidden Markov Modelle, Clustering
Textanalyse: Singulärwertzerlegung, Random Projection, Indexing, Lexikalische Analyse, Coclustering
Linkanalyse: Pagerank, Hits
Human-Computer-Interaction: Modelling Browsing Behavior, Collaborative Filtering

4.2008

Vorlesungsaufzeichnungen

07.04.200801:14:23116
Data and Web Mining
Introduction, What is in the Web?, Be cautious!, Maths, Matlab, Random Graphs
08.04.200801:12:0017
Random Graphs
Maths, Random Graphs, Matlab, Resumee, Data and Web Mining, Link Analysis
14.04.200801:17:44265
Link Structure
The importance of Link Structure, Judge the Link Structure, Maths, Hits, Matlab, PageRank
15.04.200801:13:11387
PageRank
PageRank, Matlab, SALSA, Google and co.
21.04.200801:16:51270
Google and co
Google and co, How to fool Google?, Clustering, What is the goal of clustering?
28.04.200801:16:45227
Spectral clustering
k-means, Matlab, Maths
29.04.200847:18143
Spectral clustering II
k-means, Maths, Matlab, How to turn Data into a Graph
29.04.200825:41157
Spectral clustering II
How to turn Data into a Graph, Affinity propagation
05.05.200801:08:27168
Maths
Maths, Affinity propagation, Matlab, Relational clustering
19.05.200801:22:21168
Relational clustering
Relational clustering, Matlab, Graph to (dis-)similarities, Evaluation, Visualization, What is the goal of visualization?
20.05.200801:28:45200
PCA
Principal component analysis, Independent component analysis (ICA)
26.05.200801:16:34129
ICA
Independent component analysis, Fisher linear discriminance analysis (LDA), Multidimensional scaling (MDS)
02.06.200826:37126
MDS
Metrisches Multidimensional scaling
03.06.200801:25:08112
LLE
Multidimensional scaling, Isomap, Locally linear embedding, Zusammenfassung
16.06.200801:29:52226
Mining
A priori algorithm, Determine large itemsets, Determine antecedent from large itemsets, Weka, Decision trees
30.06.200801:21:13141
Collaborative filtering
Collaborative filtering, Singular value decomposition, Text preprocessing, Bag of words representation, tf x idf weighting, tfc weighting