Learn Data Mining

了解數據挖掘的概念。

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.Learn Concepts of 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.

App Contents:

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