Frontiers in Data Science
portes grátis
Frontiers in Data Science
Emmert-Streib, Frank; Dehmer, Matthias
Taylor & Francis Ltd
09/2020
383
Mole
Inglês
9780367657659
15 a 20 dias
730
Descrição não disponível.
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?
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Big Data;General Data Protection Regulation;big;Data Protection Impact Assessment;general;Big Data Analytics;protection;Cyber Physical Systems;regulation;Data Protection;Alessandro Mantelero;Healthcare Big Data;Giuseppe Vaciago;Personal Data;Stefan A. Kaiser ?;Text Data Mining;Bart van der Sloot ?;Fs Method;Florent Thouvenin;Eliminative Induction;Rolf H. Weber;Recommender Systems;Alfred Fr?uh;MIT BIH Arrhythmia Database;Beth-Anne Schuelke-Leech;Fs Algorithm;Betsy Barry;Big Data Context;Matthew S. Eastin;Enumerative Induction;Nancy H. Brinson;Data Ownership;Rodica Neamtu;Data Protection Authorities;Caitlin Kuhlman;Unstructured Text Data;Ramoza Ahsan;Healthcare Data;Elke Rundensteiner;Text Data Analytics;Yi-Ting Chen;Big Data Frameworks;Edward W. Sun;Non-personal Data;Beatrice Paoli;Machine Learning Researchers;Monika Laner;Communication Privacy Management;Beat Toedtli;Jouri Semenov;Vernica Boln-Canedo;Noelia Shez-Marono;Amparo Alonso-Betanzos;Wolfgang ? Pietsch;Zhong Wang ?;Xiaohua Wang
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?
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Big Data;General Data Protection Regulation;big;Data Protection Impact Assessment;general;Big Data Analytics;protection;Cyber Physical Systems;regulation;Data Protection;Alessandro Mantelero;Healthcare Big Data;Giuseppe Vaciago;Personal Data;Stefan A. Kaiser ?;Text Data Mining;Bart van der Sloot ?;Fs Method;Florent Thouvenin;Eliminative Induction;Rolf H. Weber;Recommender Systems;Alfred Fr?uh;MIT BIH Arrhythmia Database;Beth-Anne Schuelke-Leech;Fs Algorithm;Betsy Barry;Big Data Context;Matthew S. Eastin;Enumerative Induction;Nancy H. Brinson;Data Ownership;Rodica Neamtu;Data Protection Authorities;Caitlin Kuhlman;Unstructured Text Data;Ramoza Ahsan;Healthcare Data;Elke Rundensteiner;Text Data Analytics;Yi-Ting Chen;Big Data Frameworks;Edward W. Sun;Non-personal Data;Beatrice Paoli;Machine Learning Researchers;Monika Laner;Communication Privacy Management;Beat Toedtli;Jouri Semenov;Vernica Boln-Canedo;Noelia Shez-Marono;Amparo Alonso-Betanzos;Wolfgang ? Pietsch;Zhong Wang ?;Xiaohua Wang
