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Data Science : 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.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 9208
- Information Systems and Applications, incl. Internet/Web, and HCI ; 9208
- Language:
- English
- Subjects (All):
- 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 Engineering.
- Local Subjects:
- Database Management.
- Information Storage and Retrieval.
- Computer and Information Systems Applications.
- Automated Pattern Recognition.
- Computer Communication Networks.
- Software Engineering.
- Physical Description:
- 1 online resource (X, 194 pages) : 60 illustrations in color.
- Edition:
- 1st ed. 2015.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2015.
- System Details:
- text file PDF
- Summary:
- 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.
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-319-24474-7
- 9783319244747
- Access Restriction:
- Restricted for use by site license.
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