This documents contains a summary of the final modules/weeks (4-7) for the course Data Mining for Business and Governance.



The following topics are included in this summary:

⋅ Crisp (K-means) clustering

⋅ Fuzzy (c-means) clustering

⋅ Hierarchical clustering

⋅ Text mining

⋅ Preprocessing noisy text

⋅ Document similarity: Jaccard coefficient

⋅ Term frequency, inverse term frequency

⋅ Dimensionality reduction

⋅ Feature selection

⋅ Filtering strategy

⋅ Wrapper s...
Final Modules Summary Data Mining for Business and Governance (880022-M-6)
Midterm Summary Data Mining for Business and Governance (880022-M-6)
Midterm Summary Data Mining for Business and Governance (880022-M-6)
Samenvatting Sociology, Work and Organisation door Watson - Sociology of Organisations
Samenvatting Sociology, Work and Organisation door Watson - Sociology of Organisations