- Data Mining Tutorial
- Data Mining - Home
- Data Mining - Overview
- Data Mining - Tasks
- Data Mining - Issues
- Data Mining - Evaluation
- Data Mining - Terminologies
- Data Mining - Knowledge Discovery
- Data Mining - Systems
- Data Mining - Query Language
- Classification & Prediction
- Data Mining - Decision Tree Induction
- Data Mining - Bayesian Classification
- Rules Based Classification
- Data Mining - Classification Methods
- Data Mining - Cluster Analysis
- Data Mining - Mining Text Data
- Data Mining - Mining WWW
- Data Mining - Applications & Trends
- Data Mining - Themes
- DM Useful Resources
- Data Mining - Quick Guide
- Data Mining - Useful Resources
- Data Mining - Discussion
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
Data Mining Tutorial
Data Mining is defined as the procedure of extracting information from huge sets of data. In other words, we can say that data mining is mining knowledge from data. The tutorial starts off with a basic overview and the terminologies involved in data mining and then gradually moves on to cover topics such as knowledge discovery, query language, classification and prediction, decision tree induction, cluster analysis, and how to mine the Web.
Audience
This tutorial has been prepared for computer science graduates to help them understand the basic-to-advanced concepts related to data mining.
Prerequisites
Before proceeding with this tutorial, you should have an understanding of the basic database concepts such as schema, ER model, Structured Query language and a basic knowledge of Data Warehousing concepts.