Preface

VisMiner was designed to be used as a data mining teaching tool with application in the classroom. It visually supports the complete data mining process – from dataset preparation, preliminary exploration, and algorithm application to model evaluation and application. Students learn best when they are able to visualize the relationships between data attributes and the results of a data mining algorithm application.

This book was originally created to be used as a supplement to the regular textbook of a data mining course in the Marriott School of Management at Brigham Young University. Its primary objective was to assist students in learning VisMiner, allowing them to visually explore and model the primary text datasets and to provide additional practice datasets and case studies. In doing so, it supported a complete step-by-step process for data mining.

In later revisions, additions were made to the book introducing data mining algorithm overviews. These overviews included the basic approach of the algorithm, strengths and weaknesses, and guidelines for application. Consequently, this book can be used both as a standalone text in courses providing an application-level introduction to data mining, and as a supplement in courses where there is a greater focus on algorithm details. In either case, the text coupled with VisMiner will provide visualization, algorithm application, and model evaluation capabilities for increased data mining process comprehension.

As stated above, ...

Get Visual Data Mining: The VisMiner Approach, 2nd Edition now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.