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.
2015
QA76.9.D3
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Title
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.
ISBN
9783319244747 electronic book
3319244744 electronic book
9783319244730
3319244744 electronic book
9783319244730
Published
Cham : Springer, 2015.
Language
English
Description
1 online resource (x, 194 pages) : illustrations.
Item Number
10.1007/978-3-319-24474-7 doi
Call Number
QA76.9.D3
Dewey Decimal Classification
005.74
Summary
This book constitutes the refereed proceedings of the Second International Conference on Data Science, ICDS 2015, held in Sydney, Australia, in 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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text file PDF
Added Author
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.
Huang, Wei, editor.
Shi, Yong, editor.
Yu, Philip S. editor.
Zhu, Yangyong, editor.
Tian, Yingjie, editor.
Zhang, Peng, editor.
He, Jing, editor.
Series
Lecture notes in computer science ; 9208.
LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI.
LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI.
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Print version: 9783319244730
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Table of 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.
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.