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.
This tutorial has been prepared for computer science graduates to help them understand the basic-to-advanced concepts related to data mining.Learn Concepts of Data Mining.
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.
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