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Data Science [electronic resource] : Second International Conference, ICDS 2015, Sydney, Australia, August 8-9, 2015, Proceedings / edited by Chengqi Zhang, Wei Huang, Yong Shi, Philip S. Yu, Yangyong Zhu, Yingjie Tian, Peng Zhang, Jing He.

Contributor(s): Zhang, Chengqi [editor.] | Huang, Wei [editor.] | Shi, Yong [editor.] | Yu, Philip S [editor.] | Zhu, Yangyong [editor.] | Tian, Yingjie [editor.] | Zhang, Peng [editor.] | He, Jing [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Information Systems and Applications, incl. Internet/Web, and HCI: 9208Publisher: Cham : Springer International Publishing : Imprint: Springer, 2015Edition: 1st ed. 2015.Description: X, 194 p. 60 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319244747.Subject(s): Database management | Information storage and retrieval systems | Application software | Pattern recognition systems | Computer networks  | Software engineering | Database Management | Information Storage and Retrieval | Computer and Information Systems Applications | Automated Pattern Recognition | Computer Communication Networks | Software EngineeringAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 005.74 Online resources: Click here to access online
Contents:
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.
In: Springer Nature eBookSummary: 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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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.

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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