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  ANALYTICS IN A BIG DATA WORLD: THE ESSENTIAL GUIDE TO DATA SCIENCE AND ITS APPLICATIONS
 

Analytics In A Big Data World: The Essential Guide To Data Science And Its Applications

by Bart Baesens

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  The book discusses the topic of Big Data and Analytics, which is now more relevant and actual than ever before. It is written with a strong practitioner focus, not overly stressing the mathematical underpinnings but the business application instead. It consists of real-life examples from the author`s personal consulting and research experience (banking, retailing, government). The book includes an overview of visionary ideas and recent developments in the field with a tremendous potential to create strategic leverage in any business setting.

Preface
Acknowledgments

Chapter 1 Big Data and Analytics
Example Applications
Basic Nomenclature
Analytics Process Model
Job Profiles Involved
Analytics
Analytical Model Requirements
Notes

Chapter 2 Data Collection, Sampling, and Preprocessing
Types of Data Sources
Sampling
Types of Data Elements
Visual Data Exploration and Exploratory Statistical Analysis
Missing Values
Outlier Detection and Treatment
Standardizing Data
Categorization
Weights of Evidence Coding
Variable Selection
Segmentation
Notes

Chapter 3 Predictive Analytics
Target Definition
Linear Regression
Logistic Regression
Decision Trees
Neural Networks
Support Vector Machines
Ensemble Methods
Multiclass Classification Techniques
Evaluating Predictive Models
Notes

Chapter 4 Descriptive Analytics
Association Rules
Sequence Rules
Segmentation
Notes

Chapter 5 Survival Analysis
Survival Analysis Measurements
Kaplan Meier Analysis
Parametric Survival Analysis
Proportional Hazards Regression
Extensions of Survival Analysis Models
Evaluating Survival Analysis Models
Notes

Chapter 6 Social Network Analytics
Social Network Definitions
Social Network Metrics
Social Network Learning
Relational Neighbor Classifier
Probabilistic Relational Neighbor Classifier
Relational Logistic Regression
Collective Inferencing
Egonets
Bigraphs
Notes

Chapter 7 Analytics: Putting It All to Work
Backtesting Analytical Models
Benchmarking
Data Quality
Software
Privacy
Model Design and Documentation
Corporate Governance
Notes

Chapter 8 Example Applications
Credit Risk Modeling
Fraud Detection
Net Lift Response Modeling
Churn Prediction
Recommender Systems
Web Analytics
Social Media Analytics
Business Process Analytics
Notes
About the Author
IndexISBN - 9788126550890
 


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