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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



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Titolo: 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 Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Edizione: 1st ed. 2015.
Descrizione fisica: 1 online resource (X, 194 p. 60 illus. in color.)
Disciplina: 005.74
Soggetto topico: Database management
Information storage and retrieval
Application software
Pattern recognition
Computer communication systems
Software engineering
Database Management
Information Storage and Retrieval
Information Systems Applications (incl. Internet)
Pattern Recognition
Computer Communication Networks
Software Engineering
Persona (resp. second.): ZhangChengqi
HuangWei
ShiYong
YuPhilip S
ZhuYangyong
TianYingjie
ZhangPeng
HeJing
Note generali: Bibliographic Level Mode of Issuance: Monograph
Nota di contenuto: 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.
Sommario/riassunto: 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.
Titolo autorizzato: Data Science  Visualizza cluster
ISBN: 3-319-24474-4
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996466306603316
Lo trovi qui: Univ. di Salerno
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Serie: Information Systems and Applications, incl. Internet/Web, and HCI ; ; 9208