Data Mining and Predictive Analytics for Business Decisions : : A Case Study Approach / / Andres Fortino.

With many recent advances in data science, we have many more tools and techniques available for data analysts to extract information from data sets. This book will assist data analysts to move up from simple tools such as Excel for descriptive analytics to answer more sophisticated questions using m...

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Bibliographic Details
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Place / Publishing House:Dulles, VA : : Mercury Learning and Information, , [2023]
©2023
Year of Publication:2023
Language:English
Online Access:
Physical Description:1 online resource (272 p.)
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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