• Integrating text mining, data mining, and network analysis for identifying genetic breast cancer trends 

  Jurca, G.;  Addam, O.;  Aksac, A.; Gao,S.; Özyer, Tansel;  Demetrick, D.;  Alhajj, R. (BioMed Central Ltd., 2016)

  Background: Breast cancer is a serious disease which affects many women and may lead to death. It has received considerable attention from the research community. Thus, biomedical researchers aim to find genetic biomarkers ...
• Boosting real-time recognition of hand posture and gesture for virtual mouse operations with segmentation 

  Ozturk, O.; Aksac, A.; Özyer, Tansel; Alhajj, R. (Springer New York LLC, 2015-06-09)

  The design and implementation of polylogarithmically or polynomially bounded algorithms on faster processors has gained popularity and attracted the attention of both researchers and practitioners. The evolution in the ...
• Integrating SOM and fuzzy k-means clustering for customer classification in personalized recommendation system for non-text based transactional data 

  Dhaliwal, S.; Van, N.N.; Dhaliwal, M.; Rokne J.; Alhajj, R.; Özyer, Tansel (Institute of Electrical and Electronics Engineers Inc., 2017-05-17)

  The world of e-commerce is reshaping marketing strategies based on the analysis of e-commerce data. Huge amounts of data are being collecting and can be analyzed for some discoveries that may be used as guidance for people ...
• From social media analysis to ubiquitous event monitoring: The case of Turkish tweets 

  Erdogan, A.E.; Ylmaz, T.; Sert, O.C.; Akyüz, M.; Özyer, Tansel; Alhajj, R. (Association for Computing Machinery, Inc., 2017-07-31)

  The work described in this paper illustrates how social media is a valuable source of data which may be processed for informative knowledge discovery which may help in better decision making. We concentrate on Twitter as ...
• Drug sensitivity prediction for cancer cell lines based on pairwise kernels and miRNA profiles 

  Tan, Mehmet (Institute of Electrical and Electronics Engineers Inc., 2014-12-29)

  Cancer cell lines comprise an important tool to design and evaluate new drug candidates. Prediction of in vivo drug response for cancer cell lines has become attractive due to recently issued large scale drug screen ...
• Prediction of influenza outbreaks by integrating Wikipedia article access logs and Google flu trend data 

  Bardak, B.; Tan, Mehmet (Institute of Electrical and Electronics Engineers Inc., 2015-12-28)

  Prediction of influenza outbreaks is of utmost importance for health practitioners, officers and people. After the increasing usage of internet, it became easier and more valuable to fetch and process internet search query ...
• A comprehensive approach for validating p53 binding site predictions 

  Özyer, Tansel; Alhajj, R. (Institute of Electrical and Electronics Engineers Inc., 2017-10-20)

  Predicting the locations of Response Elements (RE) has received considerable attention in the field of gene sequence analysis and bioinformatics. Protein53 (p53) has a prominent role in the cell cycle and cancer prevention; ...
• Classification of HIV data By Constructing A Social Network with Frequent Itemsets 

  Kocak, Yunuscan; Özyer, Tansel; Alhajj, Reda (IEEE, 2016)

  Acquired immune deficiency syndrome (AIDS) is the last and the most life-threatening phase of Human Immunodeficiency Virus (HIV) disease. HIV attacks and heavily affects the immune system of the body which remains unable ...
• IEEE 802.11 WLAN Based Real Time Indoor Positioning: Literature Survey and Experimental Investigations 

  Kul, Gokhan; Özyer, Tansel; Tavlı, Bülent (ELSEVIER Science BV, 2014)

  Indoor positioning has emerged as a hot topic that gained gradual interest from both academia and industry. Accurate estimation is necessitated in a variety of location-based services such as healthcare, repository tracking, ...
• Periodicity detection in turkish stock market 

  Kurtulmaz, E.; Aziz, R.; Ucar, U.; Özyer, Tansel; Alhajj, R. (Institute of Electrical and Electronics Engineers Inc., 2018-07)

  This paper provides a periodicity detection sample of the Turkish Stock Market using data mining concepts and techniques. The extraction of periodic patterns from the time series databases is a captivating area in data ...
• An evolutionary approach for detecting communities in social networks 

  Ozturk, K.; Polat, F.; Özyer, Tansel (Association for Computing Machinery, Inc., 2017-07-31)

  Rapid development and wide usage of social networking applications have enabled large amounts of valuable data which can be analyzed for various reasons by companies, governments, non-profit organizations such as UN. This ...
• Recent Advances in Counter PRNU Based Source Attribution and Beyond 

  Karakucuk, Ahmet; Dirik, Ahmet E.; Sencar, Hüsrev Taha; Memon, Nasir D. (SPIE-INT SOC Optical Engineering, 2015)

  Photo response noise uniformity (PRNU) based source attribution has proven to be a powerful technique in multimedia forensics. The increasing prominence of this technique, combined with its introduction as evidence in the ...
• Bitcoin movement prediction with text mining 

  Ceyhan, K.; Kurtulmaz, E.; Sert, O.C.; Özyer, Tansel (Institute of Electrical and Electronics Engineers Inc., 2018-07-05)

  In the last few years, Bitcoin is one of the most discussed and popular topic in financial system. This article aims to predict Bitcoin movement by using Machine Learning and Text Mining models. Many models have been used ...
• Effectiveness of mobile electrocardiogram in healthcare: From mobile application and development to community reaction 

  Kassem, A.; Yldrm, U.O.; Turut, K.A.; Wiil U.K.; Özyer, Tansel; Alhajj, R. (Association for Computing Machinery, Inc., 2017-07-31)

  Chronic diseases such as heart and blood vessels are considered among the most common and serious reasons of mortality in the world. In Europe alone, over four million deaths a year (45% of all deaths) are caused by heart ...
• A Case Study for the Churn Prediction in Turksat Internet Service Subscription 

  Gok, Mehmet; Özyer, Tansel; Jida, Jamal (ASSOC Computing Machinery, 2015)

  Churn prediction is a customer relationship process that predicts for customers who are at the brink of transferring all the business to competitor. It is predicted by modeling customer behaviors in order to extract patterns. ...
• Anomaly detection in vehicle traffic with image processing and machine learning 

  Sarikan, S.S.; Özbayoğlu, Ahmet Murat (Elsevier B.V., 2018)

  Anomaly detection is an important part of an Intelligent Transportation System. In this study, image processing and machine learning techniques are used to detect anomalies in vehicle movements. These anomalies include ...
• On Partial Vertex Cover and Budgeted Maximum Coverage Problems in Bipartite Graphs 

  Çaşkurlu, Buğra; Mkrtchyan, V.; Parekh, O; Subramani, K. (Springer Verlag, 2014)

  Graphs are often used to model risk management in various systems. Particularly, Caskurlu et al. in [6] have considered a system which essentially represents a tripartite graph. The goal in this model is to reduce the ...
• Improving Positive Unlabeled Learning Algorithms for Protein Interaction Prediction 

  Pancaroglu, Doruk; Tan, Mehmet (SPRINGER-Verlag Berlin, 2014)

  In binary classification, it is sometimes difficult to label two training samples as negative. The aforementioned difficulty in obtaining true negative samples created a need for learning algorithms which does not use ...
• Disease outbreak prediction by data integration and multi-task learning 

  Bardak, Batuhan; Tan, Mehmet (IEEE, 2017)

  The requirements for treatments vary for different diseases. These have to be considered in order to plan ahead the expenditures for the health care system. In this sense, disease surveillance has a significant impact on ...
• Evaluation of partner companies based on fuzzy inference system for establishing virtual enterprise consortium 

  Nikghadam, S.; LotfiSadigh, B.; Özbayoğlu, Ahmet Murat; Ünver, Hakkı Özgür; Kilic, S.E. (Springer Verlag, 2015)

  Virtual Enterprise (VE) is one of the growing trends in agile manufacturing concepts. Under this platform companies with different skills and core competences are cooperate with each other in order to accomplish a manufacturing ...

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