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Book
Data Science : Second International Conference, ICDS 2015, Sydney, Australia, August 8-9, 2015, Proceedings
Authors: --- --- --- --- --- et al.
ISBN: 3319244736 3319244744 Year: 2015 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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Abstract

This book constitutes the refereed proceedings of the Second International Conference on Data Science, ICDS 2015, held in Sydney, Australia, during August 8-9, 2015. The 19 revised full papers and 5 short papers presented were carefully reviewed and selected from 31 submissions. The papers focus on the following topics: mathematical issues in data science; big data issues and applications; data quality and data preparation; data-driven scientific research; evaluation and measurement in data service; big data mining and knowledge management; case study of data science; social impacts of data science.

Keywords

Computer Science --- Engineering & Applied Sciences --- Computer science. --- Computer communication systems. --- Software engineering. --- Database management. --- Information storage and retrieval. --- Pattern recognition. --- Computer Science. --- Database Management. --- Information Storage and Retrieval. --- Information Systems Applications (incl. Internet). --- Pattern Recognition. --- Computer Communication Networks. --- Software Engineering. --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- Computer software engineering --- Engineering --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Network computers --- Informatics --- Science --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Distributed processing --- Information storage and retrieva. --- Optical pattern recognition. --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Information storage and retrieval systems. --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software


Digital
Data Science : Second International Conference, ICDS 2015, Sydney, Australia, August 8-9, 2015, Proceedings
Authors: --- --- --- --- --- et al.
ISBN: 9783319244747 9783319244730 9783319244754 Year: 2015 Publisher: Cham Springer International Publishing

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Abstract

This book constitutes the refereed proceedings of the Second International Conference on Data Science, ICDS 2015, held in Sydney, Australia, during August 8-9, 2015. The 19 revised full papers and 5 short papers presented were carefully reviewed and selected from 31 submissions. The papers focus on the following topics: mathematical issues in data science; big data issues and applications; data quality and data preparation; data-driven scientific research; evaluation and measurement in data service; big data mining and knowledge management; case study of data science; social impacts of data science.

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