Hypothesis Generation and Interpretation: Design Principles and Patterns for Big Data Applications

This book focuses in detail on data science and data analysis and emphasizes the importance of data engineering and data management in the design of big data applications. The author uses patterns discovered in a collection of big data applications to provide design principles for hypothesis generation, integrating big data processing and management, machine learning and data mining techniques.

The book proposes and explains innovative principles for interpreting hypotheses by integrating m...