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Pstream: a popularity-aware differentiated distributed stream processing system
Real-world stream data with skewed distributions raises unique challenges to distributed
stream processing systems. Existing stream workload partitioning schemes usually use a …
stream processing systems. Existing stream workload partitioning schemes usually use a …
Learning embeddings of spatial, textual and temporal entities in geotagged tweets
With online social networks being extended to geographical space, location context plays a
key role in many applications such as local event detection and location recommendation …
key role in many applications such as local event detection and location recommendation …
Delle: Detecting latest local events from geotagged tweets
Geotagged tweet streams contain invaluable information about the real-world local events
like sports games, protests and traffic accidents. Timely detecting and extracting such events …
like sports games, protests and traffic accidents. Timely detecting and extracting such events …
Multi-spatial scale event detection from geo-tagged tweet streams via power-law verification
Compared with traditional news media, social media nowadays provides a richer and more
timely source of news. We are interested in multi-spatial level event detection from geo …
timely source of news. We are interested in multi-spatial level event detection from geo …
Service quality monitoring in confined spaces through mining Twitter data
Promoting public transport depends on adapting effective tools for concurrent monitoring of
perceived service quality. Social media feeds, in general, provide an opportunity to …
perceived service quality. Social media feeds, in general, provide an opportunity to …
[PDF][PDF] Follow the Geographic Information: The Challenges of Spatial Analysis in Digital Methods
In the digital environment, defined as a space with no anchors (Menduni 2014), the spatial
dimension may have a significant role, mostly in relation to the Internet or digital studies …
dimension may have a significant role, mostly in relation to the Internet or digital studies …
Event detection using geo-tagged twitter information
A main challenges in finding the desired event in the locality is that there is a lot of
unstructured data. It required a lot of work to make sure all those huge data to align with the …
unstructured data. It required a lot of work to make sure all those huge data to align with the …
Location classification based on tweets
Location classification is used for associating type to locations, to enrich maps and support a
plethora of geospatial applications that rely on location types. Classification can be …
plethora of geospatial applications that rely on location types. Classification can be …
Geosocial location classification: Associating type to places based on geotagged social-media posts
Associating type to locations can be used to enrich maps and can serve a plethora of
geospatial applications. An automatic method to do so could make the process less …
geospatial applications. An automatic method to do so could make the process less …
Towards a unified framework for event detection applications
Event detection applications have gained significant attention with the rise of user-generated
spatio-temporal data over the past decade. However, building event detection applications …
spatio-temporal data over the past decade. However, building event detection applications …