Berkay Aydin

According to our database1, Berkay Aydin
  • authored at least 25 papers between 2013 and 2017.
  • has a "Dijkstra number"2 of five.

Timeline

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Bibliography

2017
Measuring the Significance of Spatiotemporal Co-Occurrences.
ACM Trans. Spatial Algorithms and Systems, 2017

An Integrated Solar Database (ISD) with Extended Spatiotemporal Querying Capabilities.
Proceedings of the Advances in Spatial and Temporal Databases, 2017

Cultivating Evolving Region Trajectory Datasets.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Top-(R%, K) Spatiotemporal Event Sequence Mining.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Multi-wavelength solar event detection using faster R-CNN.
Proceedings of the 2017 IEEE International Conference on Big Data, BigData 2017, 2017

On the prediction of >100 MeV solar energetic particle events using GOES satellite data.
Proceedings of the 2017 IEEE International Conference on Big Data, BigData 2017, 2017

Parallel computation of magnetic field parameters from HMI active region patches.
Proceedings of the 2017 IEEE International Conference on Big Data, BigData 2017, 2017

2016
Mining At Most Top-K% Spatiotemporal Co-occurrence Patterns in Datasets with Extended Spatial Representations.
ACM Trans. Spatial Algorithms and Systems, 2016

Mining spatiotemporal co-occurrence patterns in non-relational databases.
GeoInformatica, 2016

Automatic personality prediction from audiovisual data using random forest regression.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Spatiotemporal event sequence mining from evolving regions.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

A Pattern Growth-Based Approach for Mining Spatiotemporal Co-occurrence Patterns.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

A Graph-Based Approach to Spatiotemporal Event Sequence Mining.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

SOLEV: a video generation framework for solar events from mixed data sources (demo paper).
Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016

Discovering spatiotemporal event sequences.
Proceedings of the 5th ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems, 2016

Spatio-temporal interpolation methods for solar events metadata.
Proceedings of the 2016 IEEE International Conference on Big Data, 2016

Indexing spatiotemporal relations in solar event datasets.
Proceedings of the 2016 IEEE International Conference on Big Data, 2016

Pg-Trajectory: A PostgreSQL/PostGIS Based Data Model for Spatiotemporal Trajectories.
Proceedings of the 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), 2016

Filling the Gaps in Solar Big Data: Interpolation of Solar Filament Event Instances.
Proceedings of the 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), 2016

Predictive Spatio-Temporal Query Processor on Resilient Distributed Datasets.
Proceedings of the 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), 2016

2015
Spatiotemporal Frequent Pattern Mining on Solar Data: Current Algorithms and Future Directions.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Time-efficient significance measure for discovering spatiotemporal co-occurrences from data with unbalanced characteristics.
Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2015

2014
ERMO-DG: Evolving Region Moving Object Dataset Generator.
Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, 2014

Spatiotemporal indexing techniques for efficiently mining spatiotemporal co-occurrence patterns.
Proceedings of the 2014 IEEE International Conference on Big Data, 2014

2013
A filter-and-refine approach to mine spatiotemporal co-occurrences.
Proceedings of the 21st SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2013


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