Berkay Aydın

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Rafal AngrykProfessor of Computer Science, Georgia State UniversityVerified email at cs.montana.edu
Dustin KemptonResearch Assistant Professor, Georgia State UniversityVerified email at gsu.edu
Soukaina Filali BoubrahimiDepartment of Computer Science, Utah State University, Logan, Utah, USAVerified email at usu.edu
Manolis K. GeorgoulisRCAAM of the Academy of AthensVerified email at academyofathens.gr
Azim AhmadzadehResearch Assistant Professor, Department of Computer Science, Georgia State UniversityVerified email at gsu.edu
Mahajan Sushant S.W. W. Hansen Experimental Physics Laboratory, Stanford UniversityVerified email at stanford.edu
Shah Muhammad HamdiDepartment of Computer Science, New Mexico State University, Las Cruces, NM, United States.Verified email at nmsu.edu
Karthik Ganesan PillaiDepartment of Computer Science, Montana State UniversityVerified email at cs.montana.edu
Ahmet KucukGeorgia State UniversityVerified email at student.gsu.edu
Michael A. SchuhDept of Computer Science, Montana State UniversityVerified email at cs.montana.edu
Xumin CaiGeorgia State UniversityVerified email at student.gsu.edu
Ruizhe MaUniversity of Massachusetts Lowell, Georgia State University, Northeastern UniversityVerified email at uml.edu
Anli JiGeorgia State UniversityVerified email at student.gsu.edu
Maxwell HostetterGeorgia State UniversityVerified email at cs.gsu.edu
Sunitha BasodiGeorgia State UniversityVerified email at gsu.edu
Shakthidhar Reddy GopavaramIndiana UniversityVerified email at iu.edu
Lisa C. KrishnamurthyGeorgia State UniversityVerified email at gsu.edu
Robin MorrisGeorgia State UniversityVerified email at gsu.edu
MOHAMMED SHOEBUDDIN HABEEBStudent, Georgia State UniversityVerified email at student.gsu.edu
Chetraj PandeyGeorgia State UniversityVerified email at gsu.edu

Berkay Aydın

Research Assistant Professor at Georgia State University

Verified email at cs.gsu.edu - Homepage

Spatiotemporal Data Mining Spatiotemporal Databases Data Integration


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A filter-and-refine approach to mine spatiotemporal co-occurrences KG Pillai, RA Angryk, B Aydin Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances …, 2013	45	2013
Multivariate Time Series Dataset for Space Weather Data Analytics RA Angryk, PC Martens, B Aydin, D Kempton, SS Mahajan, S Basodi, ... Sci. Data, 2020	30	2020
Spatiotemporal Indexing Techniques for Efficiently Mining Spatiotemporal Co-occurrence Patterns B Aydin, D Kempton, V Akkineni, S Govaparam, K Ganesan Pillai, ... 2014 IEEE International Conference on Big Data, Big Data 2014, Washington …, 2014	27	2014
On the Prediction of >100 MeV Solar Energetic Particle Events Using GOES Satellite Data SF Boubrahimi, B Aydin, P Martens, R Angryk 2017 IEEE International Conference on Big Data, BigData 2017, Boston, MA …, 2017	19	2017
Spatio-temporal interpolation methods for solar events metadata SF Boubrahimi, B Aydin, D Kempton, R Angryk 2016 IEEE International Conference on Big Data (Big Data), 3149-3157, 2016	17	2016
Spatiotemporal Event Sequence Mining from Evolving Regions B Aydin, R Angryk 23rd International Conference on Pattern Recognition (ICPR), Cancún, México …, 2016	17	2016
Modeling and Indexing Spatiotemporal Trajectory Data in Non-Relational Databases B Aydin, V Akkineni, R Angryk Managing Big Data in Cloud Computing Environments, 133-162, 2016	17	2016
Spatiotemporal Frequent Pattern Mining on Solar Data: Current Algorithms and Future Directions B Aydin, R Angryk IEEE International Conference on Data Mining Workshop, ICDMW 2015, Atlantic …, 2015	17	2015
ERMO-DG: Evolving Region Moving Object Dataset Generator B Aydin, RA Angryk, K Ganesan Pillai Proceedings of the 27th FLAIRS International Conference, 321-326, 2014	17	2014
A Graph-based Approach to Spatiotemporal Event Sequence Mining B Aydin, R Angryk 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW …, 2016	16	2016
Time-efficient significance measure for discovering spatiotemporal co-occurrences from data with unbalanced characteristics B Aydin, V Akkineni, R Angryk Proceedings of the 23rd ACM SIGSPATIAL International Conference on Advances …, 2015	16	2015
Mining spatiotemporal co-occurrence patterns in non-relational databases B Aydin, V Akkineni, R Angryk GeoInformatica 20 (4), 801-828, 2016	14	2016
Mining spatiotemporal co-occurrence patterns in solar datasets B Aydin, D Kempton, V Akkineni, R Angryk, KG Pillai Astronomy and Computing 13, 136-144, 2015	13	2015
How to Train Your Flare Prediction Model: Revisiting Robust Sampling of Rare Events A Ahmadzadeh, B Aydin, MK Georgoulis, DJ Kempton, SS Mahajan, ... The Astrophysical Journal Supplement Series 254 (2), 23, 2021	12	2021
Challenges with extreme class-imbalance and temporal coherence: A study on solar flare data A Ahmadzadeh, M Hostetter, B Aydin, MK Georgoulis, DJ Kempton, ... 2019 IEEE International Conference on Big Data (Big Data), 1423-1431, 2019	12	2019
Filling the Gaps in Solar Big Data: Interpolation of Solar Filament Event Instances S Filali Boubrahimi, B Aydin, D Kempton, SS Mahajan, R Angryk Big Data and Cloud Computing (BDCloud), Social Computing and Networking …, 2016	12*	2016
Scalable kNN Search Approximation for Time Series Data SF Boubrahimi, R Ma, B Aydin, SM Hamdi, R Angryk 2018 24th International Conference on Pattern Recognition (ICPR), 970-975, 2018	10	2018
Measuring the significance of spatiotemporal co-occurrences B Aydin, A Kucuk, RA Angryk, PC Martens ACM Transactions on Spatial Algorithms and Systems (TSAS) 3 (3), 1-35, 2017	10	2017
Discovering Spatiotemporal Event Sequences B Aydin, R Angryk Proceedings of the 5th ACM SIGSPATIAL International Workshop on Mobile …, 2016	10	2016
Spatiotemporal Interpolation Methods for Solar Event Trajectories SF Boubrahimi, B Aydin, MA Schuh, D Kempton, RA Angryk, R Ma The Astrophysical Journal Supplement Series 236 (1), 23, 2018	9	2018

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