Applying predictive analytics : finding value in data / Richard V. McCarthy, Mary M. McCarthy, Wendy Ceccucci, Leila Halawi.
2019
QA76.9.D343
Linked e-resources
Linked Resource
Online Access
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks
Details
Title
Applying predictive analytics : finding value in data / Richard V. McCarthy, Mary M. McCarthy, Wendy Ceccucci, Leila Halawi.
Author
McCarthy, Richard V. author.
ISBN
9783030140380 (electronic book)
3030140385 (electronic book)
9783030140373
3030140377
3030140385 (electronic book)
9783030140373
3030140377
Published
Cham, Switzerland : Springer, 2019.
Language
English
Description
1 online resource (x, 205 pages)
Item Number
10.1007/978-3-030-14038-0 doi
Call Number
QA76.9.D343
Dewey Decimal Classification
006.3/12
Summary
This textbook presents a practical approach to predictive analytics for classroom learning. It focuses on using analytics to solve business problems and compares several different modeling techniques, all explained from examples using the SAS Enterprise Miner software. The authors demystify complex algorithms to show how they can be utilized and explained within the context of enhancing business opportunities. Each chapter includes an opening vignette that provides real-life example of how business analytics have been used in various aspects of organizations to solve issue or improve their results. A running case provides an example of a how to build and analyze a complex analytics model and utilize it to predict future outcomes. Focuses on how to use predictive analytic techniques to analyze historical data for the purpose of predicting future results; Takes an applied approach and focus on solving business problems using predictive analytics and features case studies and a variety of examples; Uses examples in SAS Enterprise Miner, one of world's leading analytics software tools.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed March 27, 2019).
Available in Other Form
Print version: 9783030140373
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
All Resources
Table of Contents
Introduction to Predictive Analytics
Know Your Data
Data Preparation
What do Descriptive Statistics Tell Us
The First of the Big Three
Regression
The Second of the Big Three
Decision Trees
The Third of the Big Three
Neural Networks
Model Comparisons and Scoring
Appendix A
Data Dictionary for the Automobile Insurance Claim Fraud Data Example
Conclusion.
Know Your Data
Data Preparation
What do Descriptive Statistics Tell Us
The First of the Big Three
Regression
The Second of the Big Three
Decision Trees
The Third of the Big Three
Neural Networks
Model Comparisons and Scoring
Appendix A
Data Dictionary for the Automobile Insurance Claim Fraud Data Example
Conclusion.