Publications

“Identifying Cell Sector Clusters Using Massive Mobile Usage Records” Zhe Chen and Emin Aksehirli 2020 IEEE Wireless Communications and Networking Conference (WCNC), 2020, pp. 1-6.
“Predicting MRT Trips in Singapore by Creating a Mobility Behavior Model Based on GSM Data” Emin Aksehirli and Ying Li in 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 2018, pp. 632-639.
“Finding Subspace Clusters using Ranked Neighborhoods” Emin Aksehirli, Siegfried Nijssen, Matthijs van Leeuwen, and Bart Goethals in IEEE International Conference on Data Mining Workshop (ICDMW), 2015, pp.831-838, 14-17 Nov. 2015 PDF Implementation
“Finding Subspace Clusters using Local Neighborhoods” Emin Aksehirli, PhD. Thesis, University of Antwerp, 2015
“Efficient Cluster Detection by Ordered Neighborhoods” Emin Aksehirli, Bart Goethals, and Emmannuel Müller in 17th International Conference on Big Data Analytics and Knowledge Discovery - DaWaK 2015, Springer International Publishing, 2015, pp. 15-27. PDF Implementation
“Visual Interactive Neighborhood Mining on High Dimensional Data” Emin Aksehirli, Bart Goethals, and Emmannuel Müller in KDD 2015 Workshop on Interactive Data Exploration and Analytics - IDEA 2015 PDF Implementation
“Cartification: A Neighborhood Preserving Transformation for Mining High Dimensional Data” Emin Aksehirli, Bart Goethals, Emmannuel Müller, and Jilles Vreeken in Data Mining, 2013. ICDM 2013. Thirteenth IEEE International Conference on, 2013 IEEE PDF Implementation
“Frequent Itemset Mining for Big Data” Sandy Moens, Emin Aksehirli, and Bart Goethals in In SML: BigData 2013 Workshop on Scalable Machine Learning, 2013 IEEE. PDF Implementation
“New Cluster Ensemble Algorithm with Automatic Cluster Number and New Pruning Technique for Fast Detection of Neighbors on Binary Data” Emin Aksehirli, MSc. Thesis, T.C. Bahcesehir Universitesi, Istanbul 2011
“DICLENS: Divisive Clustering Ensemble with Automatic Cluster Number” Selim Mimaroglu, Emin Aksehirli in Computational Biology and Bioinformatics, IEEE/ACM Transactions on , vol.9, no.2, pp.408-420, March-April 2012, Implementation
“Improving DBSCAN’s Execution Time by Using a Pruning Technique on Bit Vectors” Selim Mimaroglu, Emin Aksehirli in Pattern Recognition Letters, Volume 32, Issue 13, 1 October 2011, Pages 1572-1580, ISSN 0167-8655. Elsevier
“Mining Frequent Item Sets Efficiently by Using Compression Techniques” Selim Mimaroglu, Cagri Cubukcu, Emin Aksehirli, Ertunc Erdil in International Conference on Data Mining (DMIN'11), 2011, pp. 308-312 PDF