課程大綱

內容

課程概述

課程說明：資料探勘目前已廣泛應用於不同領域，如醫學診斷輔助系統、財務時間序列預測模式、保險詐欺行為偵測和風險管理等。本課程目的主要是介紹資料探勘的定義和基本的資料探勘方法論(演算法)，課程內容簡介資料探勘常用的工具包含類神經網路、決策樹、粗略集及購物籃分析等方法，以及各種方法應用於分類(分類規則)、預測、關連性規則和群集化問題及其未來的應用。

Data mining current it has been widely applied to several domains, such as the medical diagnosis system, financial time series predict model, insurance fraud detection and risk management. The goal of this course is to introduction the basic tools and techniques of data mining. Introduction the neural networks, decision trees, rough sets , and market bucket analysis, and application to the classification (classification rules), prediction, association (association rules)and clustering. The focus will be on the use of these tools for customer relationship management, some potential research problems will be for future applications.

授課內容

教師介紹課程所提的方法及其應用。