Duration
Data Mining Techniques
2 days
Overview
Data mining refers to extracting or mining knowledge from large amounts of data. In other words, Data mining is the science, art, and technology of discovering large and complex bodies of data in order to discover useful patterns. Theoreticians and practitioners are continually seeking improved techniques to make the process more efficient, cost-effective, and accurate.
Chapter 1: Overview
- What is Data Mining?
- Data Mining History and Origins
- Data Mining vs Data Analytics and Data Warehousing
- How Data Mining Works
- What are the Types of Data Mining?
- How is Data Mining Done
- Applications of Data Mining
- Advantages and Disadvantages of Data Mining
Chapter 2: Knowledge Discovery from Data Steps
- Data Selection
- Data Preprocessing
- Data Transformation
- Data Mining
- Pattern Evaluation
- Knowledge Representation
- Knowledge Refinement
- Knowledge Dissemination
Chapter 3: Data Mining Process
- Understand the Business
- Understand the Data
- Prepare the Data
- Build the Model
- Evaluate the Results
- Implement Change and Monitor
Chapter 4: Data Mining Techniques
- Association Rules
- Prediction
- Classification
- Regression
- Clustering
- Artificial Neural Network
- Outlier Detection
- Genetic Algorithm
- Sequence and Path Analysis
Programme scope, delivery arrangements and suitability are confirmed during enquiry.