Introduction to Data Mining
1.1 Introduction to Data Mining
1.2 History, Evolution and Classification of Data Mining
1.3 Tasks and Techniques of Data Mining
1.4 Problems and Challenges

Data Preparation for Knowledge Discovery
2.1 Data Understanding
2.2 Attribute Types
2.3 Basic Statistics
2.4 Data Visualization

Data Preprocessing
3.1 Overview of Data Pre-processing & Data Quality
3.2 Data Cleaning and Data Discretization
3.3 Data Integration
3.4 Data Transformation
3.5 Data Reduction


Classification
4.1 Classification Concepts
4.2 Decision Tree


Model Evaluation
5.1 Introduction
5.2 Classifier Evaluation Metrics
5.3 Evaluating Classifier's Accuracy
5.4 Increasing Models' Accuracy & Selection Issues

Clustering
6.1 Introduction to Clustering
6.2 Similarity in Distance Function
6.3 K-means Algorithm
6.4 Hierarchical Clustering (Single Link)
6.5 Hierarchical Clustering (Complete Link)

Association Analysis
7.1 Introduction to Association
7.2 Apriori Algorithm
7.3 Frequent-Pattern Growth

Q1 : What is an example of data mining applicationss?
A1 : House Price Prediction Fraud Detection Text Categorization