Introduction to Data Mining and Softcomputing Techniques

Introduction to Data Mining and Softcomputing Techniques by M Ramakrishna Murthy

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Book Summary:

Introduction to Data Mining and Soft Computing Techniques addresses all the fundamental and latest data mining techniques. Data mining and soft computing is an interdisciplinary field and is useful to the students of all disciplines of science and engineering. It deals with detailed steps, tasks and challenges of data mining and knowledge discovery along with data preprocessing, association analysis, cluster analysis, classification and prediction.

Audience of the Book :

This book caters to the requirements of the students of computer science and engineering and also the management science students. It is also very useful for researchers, who are working in fields of data mining, information processing, and soft computing.

 

Key Features:

The main features of the book are as follows:

 1. The book also covers fundamentals of soft computing techniques like neural networks for data mining and knowledge discovery. 

2. At the end of each chapter multiple choice questions are also provided for the students. 

Table of Contents:

1 INTRODUCTION

2 DATA MINING

3 DATA WAREHOUSE

4 DATA PREPROCESSING

5 DATA MINING PRIMITIVES AND DMQL

6 ASSOCIATION RULES MINING

7 CLASSIFICATION

8 CLUSTER ANALYSIS

9 DATA MINING FOR UNSTRUCTURED TYPES OF DATA

10 INTRODUCTION TO SOFT COMPUTING TECHNIQUES

11 ARTIFICIAL NEURAL NETWORKS

GLOSSARY

REFERENCES

INDEX