Clustering and Approximate Identification of Frequent Item Sets. - Selim Mimaroglu; Dan A. Simovici (FLAIRS, 2007)

Bit Sequences and Biclustering of Text Documents. - Selim Mimaroglu; Kuniaki Uehara (ICDM Workshops, 2007)

Approximate Computation of Object Distances by Locality-Sensitive Hashing. - Selim Mimaroglu; Dan A. Simovici (DMIN, 2008)

Binary Sequences and Association Graphs for Fast Detection of Sequential Patterns. - Selim Mimaroglu; Dan A. Simovici (EGC, 2009)

A binary method for fast computation of inter and intra cluster similarities for combining multiple clusterings. - Selim Mimaroglu; A. Murat Yagci (ICIS, 2009)

Mining Approximative Descriptions of Sets Using Rough Sets. - Dan A. Simovici; Selim Mimaroglu (ISMVL, 2009)

Obtaining better quality final clustering by merging a collection of clusterings. - Selim Mimaroglu; Ertunc Erdil (Bioinform., 2010)

ASOD: Arbitrary shape object detection. - Selim Mimaroglu; Ertunc Erdil (Eng. Appl. Artif. Intell., 2011)

Combining multiple clusterings using similarity graph. - Selim Mimaroglu; Ertunc Erdil (Pattern Recognit., 2011)

Improving DBSCAN's execution time by using a pruning technique on bit vectors. - Selim Mimaroglu; Emin Aksehirli (Pattern Recognit. Lett., 2011)

CLICOM: Cliques for combining multiple clusterings. - Selim Mimaroglu; A. Murat Yagci (Expert Syst. Appl., 2012)

DICLENS: Divisive Clustering Ensemble with Automatic Cluster Number. - Selim Mimaroglu; Emin Aksehirli (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

Approximative distance computation by random hashing. - Selim Mimaroglu; A. Murat Yagci; Dan A. Simovici (J. Supercomput., 2012)

An efficient and scalable family of algorithms for combining clusterings. - Selim Mimaroglu; Ertunc Erdil (Eng. Appl. Artif. Intell., 2013)

Mining Approximate Descriptions Using Rough Sets and Genetic Algorithms. - Selim Mimaroglu (J. Multiple Valued Log. Soft Comput., 2013)

A Boolean Approach for Detection of Frequent Items. - Dan A. Simovici; Roman A. Sizov; Selim Mimaroglu (SYNASC, 2017)