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.