CURE: an efficient clustering algorithm for large databases
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
OPTICS: ordering points to identify the clustering structure
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Density biased sampling: an improved method for data mining and clustering
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Sampling from a moving window over streaming data
SODA '02 Proceedings of the thirteenth annual ACM-SIAM symposium on Discrete algorithms
Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications
Data Mining and Knowledge Discovery
Efficient Biased Sampling for Approximate Clustering and Outlier Detection in Large Data Sets
IEEE Transactions on Knowledge and Data Engineering
Efficient Online State Tracking Using Sensor Networks
MDM '06 Proceedings of the 7th International Conference on Mobile Data Management
CarTel: a distributed mobile sensor computing system
Proceedings of the 4th international conference on Embedded networked sensor systems
Distributed Real-Time Detection and Tracking of Homogeneous Regions in Sensor Networks
RTSS '06 Proceedings of the 27th IEEE International Real-Time Systems Symposium
Adaptive-Size Reservoir Sampling over Data Streams
SSDBM '07 Proceedings of the 19th International Conference on Scientific and Statistical Database Management
Density-based clustering for real-time stream data
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
A framework for clustering evolving data streams
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
EDACluster: an Evolutionary Density and Grid-Based Clustering Algorithm
ISDA '07 Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications
Computational Geometry: Theory and Applications
Continuous Clustering of Moving Objects
IEEE Transactions on Knowledge and Data Engineering
A simple and fast algorithm for K-medoids clustering
Expert Systems with Applications: An International Journal
Synergy: sharing-aware component composition for distributed stream processing systems
Proceedings of the ACM/IFIP/USENIX 2006 International Conference on Middleware
Region Sampling: Continuous Adaptive Sampling on Sensor Networks
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Phenomenon-Aware Stream Query Processing
MDM '07 Proceedings of the 2007 International Conference on Mobile Data Management
VTrack: accurate, energy-aware road traffic delay estimation using mobile phones
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
GreenGPS: a participatory sensing fuel-efficient maps application
Proceedings of the 8th international conference on Mobile systems, applications, and services
Watchdog: Confident Event Detection in Heterogeneous Sensor Networks
RTAS '10 Proceedings of the 2010 16th IEEE Real-Time and Embedded Technology and Applications Symposium
T-drive: driving directions based on taxi trajectories
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
Swarm: mining relaxed temporal moving object clusters
Proceedings of the VLDB Endowment
Rapid detection of rare geospatial events: earthquake warning applications
Proceedings of the 5th ACM international conference on Distributed event-based system
Driving with knowledge from the physical world
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Data Clustering on a Network of Mobile Smartphones
SAINT '11 Proceedings of the 2011 IEEE/IPSJ International Symposium on Applications and the Internet
EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
On discovering moving clusters in spatio-temporal data
SSTD'05 Proceedings of the 9th international conference on Advances in Spatial and Temporal Databases
RADAR: Adaptive Rate Allocation in Distributed Stream Processing Systems under Bursty Workloads
SRDS '12 Proceedings of the 2012 IEEE 31st Symposium on Reliable Distributed Systems
An architecture for detecting events in real-time using massive heterogeneous data sources
Proceedings of the 2nd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications
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Encouraging users to participate in community-based sensing and collection for the purpose of identifying events of interest for the community has found important applications in the recent years in a wide variety of domains including entertainment, transportation and environmental monitoring. One important challenge in these settings is how significant events can be detected by exploiting the data sensed, gathered and shared by the crowd, while respecting the resource costs. In this paper we investigate the use of dynamic clustering and sampling techniques that allow us to significantly reduce utilization costs by clustering low-level streams of events based on their geo-spatial locations and then selectively retrieving the ones that depict the highest interest. Our experimental results illustrate that our approach is practical, efficient and depicts good performance.