Page 26 - DCAP603_DATAWARE_HOUSING_AND_DATAMINING

Data Warehousing and Data Mining Sartaj Singh, Lovely Professional University

notes unit 2: Data Mining concept

contents

Objectives
Introduction
2.1 Motivation for Data Mining: Why is it Important?
2.2 What is Data Mining?
2.3 Definition of Data Mining
2.4 Architecture of Data Mining

2.5 How Data Mining Works?
2.6 Data Mining – On What Kind of Data?
2.6.1 Flat Files
2.6.2 Relational Databases

2.6.3 Data Warehouses
2.6.4 Data Cube
2.6.5 Transaction Database
2.6.6 Advanced Database Systems and Advanced Database Applications
2.7 Data Mining Functionalities — What Kinds of Patterns can be Mined?

2.8 A Classification of Data Mining Systems
2.9 Advantages of Data Mining
2.10 Disadvantages of Data Mining
2.11 Ethical Issues of Data Mining

2.11.1 Consumers’ Point of View
2.11.2 Organizations’ Point of View
2.11.3 Government Point of View
2.11.4 Society’s Point of View
2.12 Analysis of Ethical Issues

2.13 Global Issues of Data Mining
2.14 Summary
2.15 Keywords
2.16 Self Assessment

2.17 Review Questions
2.18 Further Readings

20 LoveLy professionaL university