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 /

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Bibliographic Details
Main Author: Baesens, Bart
Corporate Author: Ebooks Corporation
Format: Electronic eBook
Language:English
Published: Hoboken, New Jersey : John Wiley & Sons, Inc., [2014]
Series:Wiley and SAS business series.
Subjects:
Big data.
Management > Statistical methods.
Management > Data processing.
Decision making > Data processing.
Online Access:Connect to this title online (unlimited simultaneous users allowed; 325 uses per year)
Table of Contents:
  • Machine generated contents note: ch. 1 Big Data and Analytics
  • Example Applications
  • Basic Nomenclature
  • Analytics Process Model
  • Job Profiles Involved
  • Analytics
  • Analytical Model Requirements
  • Notes
  • ch. 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
  • ch. 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
  • ch. 4 Descriptive Analytics
  • Association Rules
  • Sequence Rules
  • Segmentation
  • Notes
  • ch. 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
  • ch. 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
  • ch. 7 Analytics: Putting It All to Work
  • Backtesting Analytical Models
  • Benchmarking
  • Data Quality
  • Software
  • Privacy
  • Model Design and Documentation
  • Corporate Governance
  • Notes
  • ch. 8 Example Applications
  • Credit Risk Modeling
  • Fraud Detection
  • Net Lift Response Modeling
  • Churn Prediction
  • Recommender Systems
  • Web Analytics
  • Social Media Analytics
  • Business Process Analytics.

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