Analytics in a Big Data World
Wiley & SAS Business Series
Contents
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
Bagging
Boosting
Random Forests
MULTICLASS CLASSIFICATION TECHNIQUES
Multiclass Logistic Regression
Multiclass Decision Trees
Multiclass Neural Networks
Multiclass Support Vector Machines
EVALUATING PREDICTIVE MODELS
Splitting Up the Data Set
Performance Measures for Classifi cation Models
Performance Measures for Regression Models
NOTES
CHAPTER 4 Descriptive Analytics
ASSOCIATION RULES
Basic Setting
Support and Confidence
Association Rule Mining
The Lift Measure
Post Processing Association Rules
Association Rule Extensions
Applications of Association Rules
SEQUENCE RULES
SEGMENTATION
Hierarchical Clustering
K‐Means Clustering
Self‐Organizing Maps
Using and Interpreting Clustering Solutions
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
Backtesting Classifi cation Models
Backtesting Regression Models
Backtesting Clustering Models
Developing a Backtesting Framework
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
Churn Prediction Models
Churn Prediction Process
RECOMMENDER SYSTEMS
Collaborative Filtering
Content‐Based Filtering
Demographic Filtering
Knowledge-Based Filtering
Hybrid Filtering
Evaluation of Recommender Systems
Examples
WEB ANALYTICS
Web Data Collection
Web KPIs
Turning Web KPIs into Actionable Insights
Navigation Analysis
Search Engine Marketing Analytics
A/B and Multivariate Testing
SOCIAL MEDIA ANALYTICS
Social Networking Sites: B2B Advertisement Tools
Sentiment Analysis
Network Analytics
BUSINESS PROCESS ANALYTICS
Process Intelligence
Process Mining and Analytics
Coming Full Circle: Integrating with Data Analytics
NOTES
About the Author
INDEX