International Workshop on Situation Recognition by Mining Temporal Information
Views: 760
When : 2017-03-13
Where : Gottingen, Germany
Submission Deadline : 2016-10-31
Categories : Data Mining , Wireless Sensor Networks
International Workshop on Situation Recognition by Mining Temporal Information(SIREMTI 2017)
March 13-17,2017.
Gottingen, Germany
Call For Papers
we harvest temporal information from our environment, including the web, and create solutions to different situation recognition problems, i.e. small and big emergency or disaster situations of any kind? Relying on the omnipresent information and data available - are we able to create intelligent and assistive approaches that could support us in our everyday life? What kind of approaches would it be? Based on the huge amount of available web data - news, texts, messages, - and data from web-connected devices, we should be able to derive relevant information to our advantage and most probably foresee any kind of situation including epidemic or disaster situation.Topics of Interest
There are different methods and algorithms that enable the processing and mining of temporal information from the available temporal data. This workshop focuses on these methods and aims at merging research works relevant to mining temporal information from any kind of data with a special focus on the following methods:
- (public) health data models
- (public) health data mining
- public health data systems
- trend mining
- trend detection
- topic mining and mining of user posts
- intelligent situation recognition
- data stream processing
- data mining on streaming data
- temporal data mining
- geo-data mining
- spatio-temporal information retrieval
- data-based situation recognition
- wireless data mining
- signal detection and analysis
- complex event processing
- semantic complex event processing
- ontology-based methods for situation recognition
- rule-based methods for analysis of data streams
Important Dates
User Name : Anika
Posted 19-10-2016 on 10:56:48 AEDT