Data Mining and Predictive Analytics for Business Decisions
A Case Study Approach
Publisher:Mercury Learning and Information
By: Andres Fortino
Paid access
|Feb 2023
Table of contents
Frontmatter
Contents
Preface
Acknowledgments
Chapter 1: Data Mining and Business
Chapter 2: The Data Mining Process
Chapter 3: Framing Analytical Questions
Chapter 4: Data Preparation
Chapter 5: Descriptive Analysis
Chapter 6: Modeling
Chapter 7: Predictive Analytics with Regression Models
Chapter 8: Classification
Chapter 9: Clustering
Chapter 10: Time Series Forecasting
Chapter 11: Feature Selection
Chapter 12: Anomaly Detection
Chapter 13: Text Data Mining
Chapter 14: Working with Large Data Sets
Chapter 15: Visual Programming
Index
20 chapters available
PDF ISBN: 978-1-68392-674-0 | E-Pub ISBN: 978-1-68392-673-3 | Paperback ISBN: 978-1-68392-675-7 | DOI: https://doi.org/10.1515/9781683926740
Publisher: Mercury Learning and Information
Copyright owner: © 2023 Walter de Gruyter GmbH, Berlin/Boston
Publication date: 2023
Language: English
Pages: 272
Keywords:
