ISBN 9788126550890,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

Author:

Bart Baesens

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ISBN 9788126550890
Publisher

Wiley India Pvt Ltd

Publication Year 2014
ISBN-13

ISBN 9788126550890

ISBN-10 8126550899
Binding

Hardback

Number of Pages 252 Pages
Language (English)
Subject

Programming

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. Was this product information helpful? Yes No TABLE OF 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 Prepossessing 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 Multicses 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
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