ICACCI 2016 - First Workshop on High Velocity Mobile Data Mining
Topics/Call fo Papers
First Workshop on High Velocity Mobile Data Mining
(http://mobdm2016.inesctec.pt/)
in conjunction with Mobile Data Mining 2016
(http://mdmconferences.org/mdm2016/)
Paper Submission Deadline: 22 March 2016
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Many high velocity applications deal with data of changing characteristics. For instance, managing objects that move in space has applications in traffic control, law enforcement, homeland security, urban planning. Using another example, a distinguishing trait that sets high velocity apart from disk-stored data is that high velocity data usually exhibits time-changing data characteristics. As most decision-making tasks rely on the recency of their supporting data, the evolving nature of the data creates tremendous complexity for many mobile data mining algorithms. On the other hand, users are often interested in changes embodied by the data. Therefore, how to make mining algorithms more effective and efficient in view of changing data characteristics has become a major challenge in a wide range of mobile data mining application domains.
This workshop solicits papers on stream mining of high velocity data. It welcomes domain-driven applications in Web, science, engineering, healthcare, finance, business, transportation, and telecommunication. We also encourage position and on-going research papers.
(http://mobdm2016.inesctec.pt/)
in conjunction with Mobile Data Mining 2016
(http://mdmconferences.org/mdm2016/)
Paper Submission Deadline: 22 March 2016
---
Many high velocity applications deal with data of changing characteristics. For instance, managing objects that move in space has applications in traffic control, law enforcement, homeland security, urban planning. Using another example, a distinguishing trait that sets high velocity apart from disk-stored data is that high velocity data usually exhibits time-changing data characteristics. As most decision-making tasks rely on the recency of their supporting data, the evolving nature of the data creates tremendous complexity for many mobile data mining algorithms. On the other hand, users are often interested in changes embodied by the data. Therefore, how to make mining algorithms more effective and efficient in view of changing data characteristics has become a major challenge in a wide range of mobile data mining application domains.
This workshop solicits papers on stream mining of high velocity data. It welcomes domain-driven applications in Web, science, engineering, healthcare, finance, business, transportation, and telecommunication. We also encourage position and on-going research papers.
Other CFPs
- Special Session: Next-Generation Internet and Communication
- Special Session: Recent Advances in Adaptive Systems and Signal Processing
- Special Session: Image Analysis and Image Enhancement
- Special Session: Malware Analysis and Forensics in Smart Phones
- Special Session: Mathematical Modeling and Scientific Computing
Last modified: 2016-02-28 23:35:23