Principles of data mining

Resource Information

The work Principles of data mining represents a distinct intellectual or artistic creation found in University of Missouri Libraries. This resource is a combination of several types including: Work, Language Material, Books.

Label

Principles of data mining

Statement of responsibility

Max Bramer

Creator

• Bramer, M. A., (Max A.), 1948-

Subject

• Data Mining
• Data mining
• Data mining
• Data mining

Language

eng

Summary

Data Mining, the automatic extraction of implicit and potentially useful information from data, is increasingly used in commercial, scientific and other application areas. Principles of Data Mining explains and explores the principal techniques of Data Mining: for classification, association rule mining and clustering. Each topic is clearly explained and illustrated by detailed worked examples, with a focus on algorithms rather than mathematical formalism. It is written for readers without a strong background in mathematics or statistics, and any formulae used are explained in detail. This second edition has been expanded to include additional chapters on using frequent pattern trees for Association Rule Mining, comparing classifiers, ensemble classification and dealing with very large volumes of data. Principles of Data Mining aims to help general readers develop the necessary understanding of what is inside the 'black box' so they can use commercial data mining packages discriminatingly, as well as enabling advanced readers or academic researchers to understand or contribute to future technical advances in the field. Suitable as a textbook to support courses at undergraduate or postgraduate levels in a wide range of subjects including Computer Science, Business Studies, Marketing, Artificial Intelligence, Bioinformatics and Forensic Science

Member of

• Undergraduate topics in computer science

Cataloging source

GW5XE

Dewey number

006.312

Illustrations

illustrations

Index

index present

LC call number

QA76.9.D343

Literary form

non fiction

Nature of contents

• dictionaries
• bibliography

NLM call number

QA 76.9.D343

Series statement

Undergraduate topics in computer science