Workshop on Data Stream Mining Techniques and Applications
When : 2016-12-13
Where : Cambridge (UK)
Submission Deadline : 2016-09-23
Categories : Data Mining , DBWorld: Database Management Systems
Workshop on Data Stream Mining Techniques and Applications
(BCS SGAI 2016)
13th December 2016
Cambridge (UK)
Call for Papers:
The four main dimensions of Big Data are known as Volume, referring to the size of the data, Velocity, referring to the data that is generated rapidly, Veracity, referring to uncertainty in data and Variety, referring to data from different kinds of sources such as text, structure and video data. This workshop's focus is on the Velocity dimension of Big Data. The analytics of high velocity data has many applications, such as topic detection in Twitter, traffic control, network intrusion detection, etc. The difference compared with data that is stored on a disk is that real-time data may change its characteristics over time. However, decision support applications rely on the recency of their supporting data, hence, data generated at a high velocity needs to be processed ‘on the fly’. On the other hand, there are applications that are more interested in the actual change of the data, i.e. intrusion detection and network fault detection. Hence there is a need for computationally efficient real-time techniques that take changes of the data into consideration.
This workshop not only welcomes papers on data stream mining of high velocity data but also application from various domains, such as science, engineering, finance, web, etc. The workshop’s aim is to bring together researchers in this field to present their latest work, discuss challenges and future directions of research in Data Stream Mining.
Topics:
Submitted extended abstracts (2 pages) will be reviewed. The authors of the best abstracts will be invited to submit full workshop papers, which will be further reviewed.
Topics of interest
- High Velocity Data Stream mining algorithms and techniques
- Big Data Streams
- Concept Drift Detection
- Real-time data mining applications
- Real-time event detection from streaming data.
Important Dates:
- Submission deadline for full paper: 23rd September
- Notification of acceptance: 7th October 2016
- Camera ready papers and workshop registration: 14th October 2016
