Data Mining for Business and Governance

This documents contains a summary of the first three modules/weeks for the course Data Mining for Business and Governance. The following topics are included in this summary: ⋅ What is data mining? ⋅ What are the related disciplines? ⋅ What are the applications? ⋅ What is big data? ⋅ Supervised and unsupervised learning ⋅ Examples of supervised and unsupervised learning ⋅ Workflow of supervised learning ⋅ Descriptive analysis: data visualization, exploring data dist...

Full course notes

Useful summary for the Data Mining course at Tilburg University. All parts of the course are discussed, except the guest lecture. The summary describes and explains the elementary principles of data mining.

Complete summary of all topics covered during the lectures.

Videolectures 1-3 of the course Data Mining for Business and Governance

This document summarizes all 14 articles for the Midterm Exam of the course Data Mining for Business and Governance (-M-6) in the Master Data Science and Society at Tilburg University. The document answers the questions from the syllabus regarding the articles.

In this document you will find all important information about the theory that was discussed during the first three lectures. The document also contains additional explanations for various concepts. It is a good preparation for the midterm.

Cheat Sheet Data Mining for Business and Governance

Students taking the course of Data Mining for Business and Governance are entitled to take an A4 sheet with themselves during the final exam. This cheat sheet is made for that purpose and has everything you might need from the entire course. All the important points from the lectures included as well. Well, downloading this saves your time from recreating a summary page and you will not miss any concept.