1 option
ICT Innovations 2017 : Data-Driven Innovation. 9th International Conference, ICT Innovations 2017, Skopje, Macedonia, September 18-23, 2017, Proceedings / edited by Dimitar Trajanov, Verica Bakeva.
- Format:
- Book
- Series:
- Computer Science (Springer-11645)
- Communications in computer and information science 1865-0929 ; 778.
- Communications in Computer and Information Science, 1865-0929 ; 778
- Language:
- English
- Subjects (All):
- Data mining.
- Application software.
- Artificial intelligence.
- Data protection.
- Computer organization.
- Data Mining and Knowledge Discovery.
- Information Systems Applications (incl. Internet).
- Artificial Intelligence.
- Security.
- Computer Systems Organization and Communication Networks.
- Local Subjects:
- Data Mining and Knowledge Discovery.
- Information Systems Applications (incl. Internet).
- Artificial Intelligence.
- Security.
- Computer Systems Organization and Communication Networks.
- Physical Description:
- 1 online resource (XVII, 286 pages) : 94 illustrations.
- Edition:
- First edition 2017.
- Contained In:
- Springer eBooks
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2017.
- System Details:
- text file PDF
- Summary:
- This book constitutes the refereed proceedings of the 9th International Conference on Data-Driven Innovation, ICT Innovations 2017, held in Skopje, Macedonia, in September 2017. The 26 full papers presented were carefully reviewed and selected from 90 submissions. They cover the following topics: big data analytics, cloud computing, data mining, digital signal processing, e-health, embedded systems, emerging mobile technologies, multimedia, Internet of Things (IoT), machine learning, software engineering, security and cryptography, coding theory, wearable technologies, wireless communication, and sensor networks.
- Contents:
- Data-driven innovations, organized around topics such as increasing migration of socio-economic activities to the Internet
- The decline in the cost of data collection, storage and processing
- The generation and use of huge volumes of data
- Large datasets becoming a core asset in research and economy fostering new discoveries, new industries, new processes. .
- Other Format:
- Printed edition:
- ISBN:
- 978-3-319-67597-8
- 9783319675978
- Access Restriction:
- Restricted for use by site license.
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.