IBM SPSS Modeler Essentials : Effective techniques for building powerful data mining and predictive analytics solutions /: Effective techniques for building powerful data mining and predictive analytics solutions. (2017)

• Record Type: Book
• Further Information: Note: Keith McCormick, Jose Jesus Salcedo, Bowen Wei.
• Authors: McCormick, Keith; Salcedo, Jose Jesus
• Editors: Wei, Bowen
• Contents: Table of Contents The Basics of Using Modeler Looking for Relationships between Fields Introduction to Modeling Options in IBM SPSS Modeler Combining Data Files Model Assessment and Scoring Introduction to Data Mining Data Quality and Exploration Decision Tree Models Combining and Restructuring Data Importing Data into Modeler Cleaning and Selecting Data.
• Publisher Details: Birmingham : Packt Publishing
• Publication Date: 2017
• Extent: 1 online resource (238 pages)
• Subjects: Computers -- Data Processing; Computers -- Database Management -- Data Mining; Data capture & analysis; Data mining; Information architecture; Computers -- Data Modeling & Design; Database design & theory
• Languages: English
• ISBNs: 9781788296823; 1788296826
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.