IBM SPSS Modeler Essentials

IBM SPSS Modeler Essentials takes a detailed, step-by-step approach to introducing data mining using the de facto standard process, CRISP-DM, and Modeler’s easy to learn “visual programming” style. You will learn how to read data into Modeler, assess data quality, prepare your data for modeling, find interesting patterns and relationships within your data, and export your predictions. (Limited-time offer)

Table of Contents

• Introduction to Data Mining and Predictive Analytics
• The Basics of Using IBM SPSS Modeler
• Importing Data into Modeler
• Data Quality and Exploration
• Cleaning and Selecting Data
• Combining Data Files
• Deriving New Fields
• Looking for Relationships Between Fields
• Introduction to Modeling Options in IBM SPSS Modeler
• Decision Tree Models
• Model Assessment and Scoring

Download Free PDF / Read Online