Knowledge Discovery and Data Mining I (wise18)

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ADVANCED TOPICS cont. 2

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    Process Mining
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    Outlook
  • Recording from: 05.02.2019
    Lecturer: Thomas, Seidl

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    CLASSIFICATION cont. 3 // REGRESSION // ADVANCED TOPICS

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    Ensemble Classification
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    Regression
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    Process Mining
  • Recording from: 29.01.2019
    Lecturer: Thomas, Seidl

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    CLASSIFICATION cont. 2

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    Kernel Methods
  • Recording from: 22.01.2019
    Lecturer: Thomas, Seidl

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    CLASSIFICATION cont. 1

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    Support Vector Machines
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    Kernel Methods
  • Recording from: 15.01.2019
    Lecturer: Thomas, Seidl

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    CLASSIFICATION

    Recording from: 08.01.2019
    Lecturer: Thomas, Seidl

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    CLUSTERING (Cont. IIII) // OUTLIER DETECTION

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    Clustering
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    Outlier Detection
  • Recording from: 18.12.2018
    Lecturer: Dr. Peer Kröger

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    Clustering (Cont.III)

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    3.2 Clustering
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    3.2.7 Evaluation
  • Recording from: 11.12.2018
    Lecturer: Thomas, Seidl

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    Clustering (Cont.I)

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    Clustering
  • Recording from: 20.11.2018
    Lecturer: Thomas, Seidl

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    Frequent Pattern Mining // Clustering

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    Frequent Pattern Mining
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    Clustering
  • Recording from: 13.11.2018
    Lecturer: Thomas, Seidl

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    Unsupervised Methods

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    Frequent Pattern Mining
  • Recording from: 06.11.2018
    Lecturer: Thomas, Seidl

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    BASICS // UNSUPERVISED METHODS

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    Data Reduction
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    Visualization
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    Privacy
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    Frequent Pattern Mining
  • Recording from: 30.10.2018
    Lecturer: Thomas, Seidl

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    Basics (cont.)

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    Data Representation
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    Data Reduction
  • Recording from: 23.10.2018
    Lecturer: Thomas, Seidl

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    Introduction // Basics

    Recording from: 16.10.2018
    Lecturer: Thomas, Seidl
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