According to our database1, Mete Celik authored at least 14 papers between 2005 and 2017.
Legend:Book In proceedings Article PhD thesis Other
Discovering socio-spatio-temporal important locations of social media users.
J. Comput. Science, 2017
Discovering socially important locations of social media users.
Expert Syst. Appl., 2017
CoABCMiner: An Algorithm for Cooperative Rule Classification System Based on Artificial Bee Colony.
International Journal on Artificial Intelligence Tools, 2016
Partial spatio-temporal co-occurrence pattern mining.
Knowl. Inf. Syst., 2015
Performance analysis of ABCMiner algorithm with different objective functions.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013
Spatial AutoRegression (SAR) Model - Parameter Estimation Techniques.
Springer Briefs in Computer Science, Springer, ISBN: 978-1-4614-1842-9, 2012
Mixed-Drove Spatiotemporal Co-Occurrence Pattern Mining.
IEEE Trans. Knowl. Data Eng., 2008
Should SDBMS support a join index?: a case study from CrimeStat.
Proceedings of the 16th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2008
Zonal Co-location Pattern Discovery with Dynamic Parameters.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007
Mining At Most Top-K% Mixed-drove Spatio-temporal Co-occurrence Patterns: A Summary of Results.
Proceedings of the 23rd International Conference on Data Engineering Workshops, 2007
Discovery of Co-evoluting Spatial Co-located Event Sets.
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006
Sustained Emerging Spatio-Temporal Co-occurrence Pattern Mining: A Summary of Results.
Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), 2006
Mixed-Drove Spatio-Temporal Co-occurence Pattern Mining: A Summary of Results.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
A Join-Less Approach for Co-Location Pattern Mining: A Summary of Results.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005