sharafdini/DMwR

Data Mining With R

Supported files and codes for the course

Data Mining With R

By: Hossein Haghbin

May 2019 Shiraz

You can use the This website to preview the content files.

Reference:

Data Mining Concepts and Techniques

By: Jiawei Han, Micheline Kamber and Jian Pei The Book Slides can be find here

1. Introduction

2. Getting to Know Your Data

• Loading data into R
• Basic Statistical Descriptions of Data
• Advanced_Data Visualization: ggplot2
• Advanced_Data Visualization: plotly
• Measuring Data Similarity and Dissimilarity

3. Data Preprocessing

• Data Cleaning
• Data Integration
• PCA for Data Reduction(Digit Recognition Example)
• Data Transformation

4. Data Warehousing and Online Analytical Processing

• Group Manipulation
• Group Manipulation with dplyr

5. Data Cube Technology

6. Mining Frequent Patterns and Associations

• The Apriori Algorithm
• The Eclat Algorithm
• Market Basket Analysis

7. Advanced Pattern Mining

8. Classification: Basic Concepts

• Decision Tree Using party
• Decision Tree Using rpart
• Naıve Bayes Classifier
• Rule-Based Models

9. Classification: Advanced Methods

10. Cluster Analysis: Basic Concepts and Methods

• Partitioning Methods(K-means, K-medoid)
• Hierarchical Clustering (Agglomerative, Divisive)
• DBSCAN: density-based clustering

Support or Contact

Having trouble with Pages? haghbinh or contact support and we’ll help you sort it out.