Book Scanning >> Book Scanning
Data Mining : concepts and Techniques
Published by Diane Cerra
_________________________
CONTENTS
Foreword
Preface
Chapter I : Introduction I
____________ What Motivated Data Mining? Why is It Important?
____________ So, What is Data Mining?
____________ Data Mining - On What Kind of Data?
________________________ Relational Databases
________________________ Data Warehouses
________________________ Transactional Databases
________________________ Advanced Data and Information Systems and Advanced Applications
____________ Data Mining Functionalities - What Kinds of Patterns Can Be Mined?
________________________ Concept/Class Description: Characterization and Discrimination
________________________ Mining Frequent Pattterns, Associations, and Correlations
________________________ Classification and Prediction
________________________ Cluster Analysis
________________________ Outluer Analysis
________________________ Evolution Analysis
____________ Are All of the Patterns Interesting?
____________ classification of Data Mining Systems
____________ Data Mining Task Primitives
____________ Integration of a Data Mining system with a database or Data Warehouse System
____________ Major Issues in Data Mining
_________________________
If you wanna readmore the book, you can download the book in digital version from link below :
Link 1
by Jiawei Han and Micheline Kamber
Published by Diane Cerra
_________________________
CONTENTS
Foreword
Preface
Chapter I : Introduction I
____________ What Motivated Data Mining? Why is It Important?
____________ So, What is Data Mining?
____________ Data Mining - On What Kind of Data?
________________________ Relational Databases
________________________ Data Warehouses
________________________ Transactional Databases
________________________ Advanced Data and Information Systems and Advanced Applications
____________ Data Mining Functionalities - What Kinds of Patterns Can Be Mined?
________________________ Concept/Class Description: Characterization and Discrimination
________________________ Mining Frequent Pattterns, Associations, and Correlations
________________________ Classification and Prediction
________________________ Cluster Analysis
________________________ Outluer Analysis
________________________ Evolution Analysis
____________ Are All of the Patterns Interesting?
____________ classification of Data Mining Systems
____________ Data Mining Task Primitives
____________ Integration of a Data Mining system with a database or Data Warehouse System
____________ Major Issues in Data Mining
_________________________
If you wanna readmore the book, you can download the book in digital version from link below :
Go Home : Scanning Document
