Compact Course on Data Mining and its Applications
Notice: The course is in German but the slides are in English
Introduction and General Aspects
- Why Data Mining?
- What is Data Mining?
- Difference between Data Mining and Knowledge Discovery in Databases
- Interdisciplinary aspects of Data Mining
- Examples of Data Mining Tools
- Short history of Data Mining, Data Mining rapid development
- Some European funded projects on Data Mining
- Scientific Networking and partnership in Data Mining and Machine Learning
- Conducting of Data Mining projects, optimal structure of a Data Mining team
- Success factors of Data Mining projects
- Conferences and Journals on Data Mining
Data Mining Process (CRISP-DM)
- Business Understanding
- Data Understanding
- Data Preparation
- Modeling
- Evaluation
- Deployment
Data Mining and Business Intelligent (BI)
- Definition of BI
- Architecture of BI Systems
- Role of Intelligence in BI
- Online Analytical Processing (OLAP)
- Data Warehousing
- Case Study
Data Mining Algorithms
- Decision Trees
- Artificial Neural Networks
- Association Rules
- Instance Based Learning (Lazy Learning)
- Bayesian Methods (Naïve Bayes)
- Regression Trees
- Regression Analysis
- Model Trees
- Cluster Analysis
- Logistic Regression
Applications and Case Studies
- Customer Relationship Management
- Automotive Industry
- Healthcare
- Business and Banking