Frontiers in Data Science (Hardcover)

Preface. Generalized optimal wavelet decomposing algorithm for big financial data. How ’big data’ can make big impact: Findings from a systematic review and a longitudinal case study. Data Science and Big Data: current state and future opportunities. Legal Aspects of Information Science, Data Science and Big Data. Between two hypes: FORZA Digital forensics investigation framework that incorporate legal issues. Application of big data in Intelligent Transportation. Legal and policy aspects of space situational awareness. Causation, probability and all that - Data Science as a novel kind of inductive methodology. Preprocessing in big data: new challenges for discretization and feature selection. The impact of Big Data on making evidence-based decisions. Living in a big data world: Predicting mobile commerce activity through privacy concerns. Privacy as virtue: The negative and the positive obligations of the state. Beyond the hype: Big data concepts, methods, and analytics. Recommendation System for Designing Education Courses: A Data Science Perspective. Between two hypes: Will big data help unravel blind spots in understanding the global land rush?