Published by Springer-Verlag. 2020. 571 pages. ISBN: 978-1-4471-7492-9
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.
None known as at July 1st 2021.
These web-based programs are provided to support some of the material in Principles of Data Mining
Decision Tree Generation and Testing Using TDIDT (Chapter 5 etc)
Calculation of Performance Measures (Chapter 12)
Calculation of Interestingness Measures (Section 17.9)
FP-growth Frequent Pattern Trees Algorithm (Chapter 18)
Classifying Streaming Data: H-Tree Algorithm (Chapter 21)
Neural Network Demonstration Program (Chapter 23)
Downloadable copies of datasets referred to in the book (all in Inducer format)