PUBLİCATIONS:

Journals:

• A. Özcan, Ş. Gündüz Öğüdücü, “Multivariate Time Series Link Prediction for Evolving Heterogeneous Network”, International Journal of Information Technology & Decision Making, 2018, accepted. 
• Z. Zengin Alp, Ş. Gündüz-Öğüdücü “Influence Factorization for Identifying Authorities in Twitter”, Knowledge Based Systems, 2018, accepted.
• Z. Zengin Alp, Ş. Gündüz Öğüdücü, “Identifying topical influencers on twitter based on user behavior and network topology”, Knowledge Based Systems, Vol.141, pp. 211-221, DOI: 10.1016/j.knosys.2017.11.021, Elsevier 2017.
• A. Özcan, Ş. Gündüz Öğüdücü, “Link prediction in evolving heterogeneous networks using the NARX neural networks”, DOI: 10.1007/s10115-017-1073-x, Knowledge and Information Systems, pp. 1-28, 2017.
• N. İlhan, Ş. Gündüz Öğüdücü, "Feature identification for predicting community evolution in dynamic social networks", Engineering Applications of Artificial Intelligence, 2016.
• A. Özcan, Ş. Gündüz Öğüdücü, "Multivariate Temporal Link Prediction in Evolving Social Networks", ACIS International Journal of Computer and Information Science, 2015.  
• H. Kaya, Ş. Gündüz-Öğüdücü, "A distance based time series classification framework", Information Sciences, http://dx.doi.org/10.1016/j.is.2015.02.005, Elsevier, 2015. 
• İ. Güneş, Ş. Gündüz-Öğüdücü, Z. Çataltepe, "Link Prediction Using Time Series of Neighborhood-based Node Similarity Scores", Accepted for Publication in Data Mining and Knowledge Discovery, Springer, 2015.
• İ. Güneş, Z. Çataltepe, Ş. Gündüz-Öğüdücü, "GA-TVRC-Het: Genetic Algorithm enhanced Time Varying Relational Classifier for Evolving Heterogeneous Networks", Data Mining and Knowledge Discovery, DOI: 10.1007/s10618-013-0316-z, Springer, 2013.
• Z. Kavasoğlu, Ş. Gündüz-Öğüdücü, "Personalized Summarization of Customer Reviews based on User’s Browsing History",IADIS International Journal on Computer Science and Information Systems, Vol. 8, No.2, pp. 147-158ISSN: 1646-3692, 2013.
• H. Kaya, Ş. Gündüz-Öğüdücü, "SAGA: A novel signal alignment method based on genetic algorithm", Information Sciences, http://dx.doi.org/10.1016/j.ins.2012.12.012, Elsevier, 2012.
  
• M. Göksedef and Ş. Gündüz- Öğüdücü, "Combination of Web Page Recommender Systems", Expert Systems with Application, DOI 10.1016/j.eswa.2009.09.046, Elsevier, 2009.
• A. Madylova and Ş. Gündüz-Ögüdücü, "Comparison of Similarity Measures for Clustering Turkish Documents", Intelligent Data Analysis, 13 (5):815-832, DOI 10.3233/IDA-2009-0394, IOS Press, 2009.
• G. N. Demir , A. Ş. Uyar , Ş. Gündüz-Ögüdücü, "Multiobjective evolutionary clustering of Web user sessions: a case study in Web page recommendation",  Soft Computing Journal, DOI 10.1007/s00500-009-0428-y, Springer, 2009
• Ş. Gündüz-Ögüdücü and M. T. Özsu, "Incremental Click-Stream Tree Model: Learning From New Users for Web Page Prediction", International Journal on Distributed and Parallel Databases, 19 (1): 5-27, Jan. 2006.
• Ş. Gündüz-Ögüdücü and A. Ş. Uyar, "A Graph Based Clustering Method using a Hybrid Evolutionary Algorithm", Transactions on Mathematics, Vol. 3, Issue 3, pp. 731-736, WSEAS Press, 2004.

Books:

• Şule Gündüz-Öğüdücü, "Web Page Recommendation Models: Theory and Algorithms", Morgan & Claypool, 2010.
  

Book Chapters:

• Alper Özcan, Şule Gündüz-Öğüdücü, "A Recommendation Framework for Mobile Phones Based on Social Network Data", Studies in Computational Intelligence, pages 139-149, ISSN: 1860-949X, DOI 10.1007/978-3-642-13265-0

Patents:

• Turkey (2017) C. Öksüz, F. Alagöz, Ş. Gündüz, Öğüdücü, K. H. Kutluay,  Bir Raporlama Sistemi ve Yönetimi, Turkish Patent Institute Patent No: 2014 06847, date of approval: 2017/03/21.

Conferences:

• I. Işlek, Ş. Gündüz Öğüdücü, "Use of LSTM for Short-Term and Long-Term Travel Time Prediction", International Workshop on Knowledge-Driven Analytics Impacting Human Quality of Life (KDAH-CIKM), 2018.
• B. Çizmeci, Ş. Gündüz Öğüdücü, "Predicting IMDB Ratings of Pre-release Movies with Factorization Machines Using Social Media", 3rd International Conference on Computer Science and Engineering, (UBMK), 2018.
• K. Kaya, Ş. Gündüz Öğüdücü “A Binary Classification Model for PM10 Levels”, 3rd International Conference on Computer Science and Engineering, (UBMK), 2018.
• R. Tugay, Ş. Gündüz Öğüdücü, “ Ranky: An Approach To Solve Distributed Svd On Large Sparse Matrices”, First IEEE International Conference On Smart Computing And Electric Enterprise, 2018.
• R. Tugay, Ş. Gündüz Öğüdücü, “Demand Prediction Using Machine Learning Methods and Stacked Generalization”, 6th International Conference on Data Science, Technology and Applications, 2017.
• A. Özcan, Ş. Gündüz Öğüdücü,”Supervised Temporal Link Prediction Using Time Series of Similarity Measures”, Ninth International Conference on Ubiquitous and Future Networks (ICUFN), 2017.
• I. Işlek, Ş. Gündüz Öğüdücü, “A Decision Support System for Demand Forecasting based on Classifier Ensemble”, Federated Conference on Computer Science and Information Systems, 2017.
• A. Özcan, Ş. Gündüz Öğüdücü, "Temporal Link Prediction Using Time Series of Quasi-Local Node Similarity Measure", The 15th International Conference on Machine Learning and Applications (ICMLA'16), Anaheim, CA, USA, December 18-20, 2016.
• G. Özcan, Ş. Gündüz Öğüdücü, "Applying Different Techniques in Reciprocal Job Recommender System for Considering Job Candidate Preferences", International Conference for Internet Technology and Secured Transactions, ICITST 2016, Barcelona Spain, December 5-7, 2016.
• Z. Zengin Alp, Ş. Gündüz Öğüdücü, "Influential User Detection on Twitter: Analyzing Effect of Focus Rate", SI 2016: Workshop on Social Influence in conjunction with the 2016 IEEE/ACM International Conference ASONAM, San Francisco, CA, USA, August 18-21, 2016.
• N. İlhan, Ş. Gündüz Öğüdücü, "Predicting Community Evolution based on Time Series Modeling", DyNo: 1st International Workshop on Dynamics in Networks in conjunction with the 2015 IEEE/ACM International Conference ASONAM, Paris, France, August 25-28, 2015.
• B. Akgün, Ş. Gündüz Öğüdücü, "Streaming Linear Regression on Spark MLlib and MOA", FOSINT-SI International Symposium on Foundations of Open Source Intelligence and Security Informatics, in conjunction with the 2015 IEEE/ACM International Conference ASONAM, Paris, France, August 25-28, 2015. 
• A. Özcan, Ş. Gündüz Öğüdücü, "Multivariate Temporal Link Prediction in Evolving Social Networks", 14th IEEE/ACIS International Conference on Computer and Information Science 2015 (ICIS2015).
• İ. İşlek, Ş. Gündüz Öğüdücü, "A retail demand forecasting model based on data mining techniques", The 24th IEEE International Symposium on Industrial Electronics, 2015.
• M. Y. Akpinar, M. Gayberi, E. Orman, Ş. Gündüz Öğüdücü, Kurumsal Raporlama Çözümlerinde Bellek İçi Veritabanı Kullanımı. UYMS 2014.
• N. Ilhan, Ş. Gündüz-Öğüdücü, "Community Event Prediction in Dynamic Social Networks", The 12th International Conference on Machine Learning and Applications (ICMLA'13), 2013.
• Ş. Gündüz Öğüdücü, M. Gayberi, E. Akpınar, H. Kutkuay, "A Study for Performance Comparison of Different In-Memory Databases", The 7th International Conference on Application of Information and Communication Technologies, AICT 2013.
• N. Ilhan, Ş. Gündüz-Öğüdücü, “A Study on Generation of Synthetic Evolving Social Graph”, Poster, The 5th International Conference on Agents and Artificial Intelligence, ICAART 2013.
• M. E. Alper and Ş. Gündüz-Öğüdücü, "Personalized Recommendation in Folksonomies using a Joint Probabilistic Model of Users, Resources and Tags", The 11th International Conference on Machine Learning and Applications (ICMLA'12), 2012.
• M. E. Alper and Ş. Gündüz-Öğüdücü, "Personalized resource categorisation in folksonomies", ACM SIGKDD Workshop on Mining Data Semantics (MDS '12). ACM, New York, NY, USA, 2012.
• S. M. Gargari and Ş. Gündüz-Öğüdücü, "A Novel Framework For Spammer Detection In Social Bookmarking Systems", International Symposium on Foundation of Open Source Intelligence and Security Informatics, FOSINT-SI 2012.
• Z. Zengin-Alp and Ş. Gündüz-Öğüdücü, "User Based Recommender Model for Social Tagging Systems", Industrial Conference on Data Mining - Poster and Industry Proceedings, 2012 
• Y. Üstünbaş, Ş. Gündüz-Öğüdücü, "A Recommendation Model for Social Resource Sharing Systems Based on Tripartite Graph Clustering", International Symposium on Open Source Intelligence & Web Mining (OSINT-WM 2011) in Conjuction with (European ISI 2011), 2011.
• I. Günes, Z. Çataltepe, Ş. Gündüz-Öğüdücü, "GA-TVRC: a novel relational time varying classifier to extract temporal information using genetic algorithms" The 7th international conference on Machine learning and data mining in pattern recognition (MLDM'11), 2011.
  
• H. Kapusuzoğlu, Ş. Gündüz-Öğüdücü, "A Relational Recommender System based on Domain Ontology", 2nd International Conference on Emerging Intelligent Data and Web technologies, 2011.
  
• A. A. Atak, Ş. Gündüz-Öğüdücü, "A Framework for Web Host Quality Detection", The 2011 International Conference on Information and Knowledge Engineering, 2011.
  
• H. Kaya, Ş. Gündüz-Öğüdücü, "A New Approach for Mutation Analysis", International Conference on Computer Information Systems and Industrial management Applications, 2010.
  
• A. A. Atak, Ş. Gündüz-Öğüdücü, "A Framework for Social Spam Detection Based on Relational Bayes Classifier", The 6^th International Conference on Data Mining (DMIN 2010).
• S. Sadi, Ş. Gündüz-Öğüdücü, A. Ş. Uyar. "An Efiicient Community Detection Method using Parallel Clique-Finding Ants", 2010 IEEE World Congress on Computational Intelligence.
• N. Ilhan, Ş. Gündüz-Öğüdücü, "A Recommender Model for Social Bookmarking Sites", ICSCCW 2009: The Fifth International Conference on Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control, 2009.
• A. Madylova, Ş. Gündüz-Öğüdücü, "A Taxonomy based Semantic Similarity of Documents using the Cosine Measure", ISCIS 2009: The 24th International Symposium on Computer and Information Sciences, 2009, pages 129-134.
• S. Sadi, A. S. Uyar. Ş. Gündüz-Öğüdücü, "Community Detection using Ant Colony Optimization Techniques", Mendel 2009: 15th International Conference on Soft Computing, 2009.
• M. Göksedef, Ş. Gündüz-Öğüdücü, "Integration of the Pagerank Algorithm into Web Recommendation System", IADIS European Conference on Data Mining, IADIS Press, 2008, pages 19-28.
• B. Yücesoy, Ş. Gündüz-Öğüdücü, "Comparison of Semantic and Single Term Similarity Measures for Clustering Turkish Documents", The 2007 International Conference on Machine Learning and Applications (ICMLA'07), IEEE Press, 2007, pages 393-398.
• M. Göksedef, G. N. Demir, Ş. Gündüz-Öğüdücü, "A Web Recommender System Based on Ant Colony Optimization", IADIS European Conference on Data Mining, IADIS Press, 2007.
• M. Göksedef, Ş. Gündüz-Öğüdücü, "A Consensus Recommender for Web Users", ADMA 2007: The Third International Conference on Advance Data Mining and Applications, Lecture Notes in Computer Science, Springer, 2007, pages 287-299. 
• G. N. Demir, A. Ş. Uyar, Ş. Gündüz-Öğüdücü, "Graph-based Sequence Clustering through Multiobjective Evolutionary Algorithms for Web Recommender Systems", GECCO 2007: Genetic and Evolutionary Computation Conference, ACM Press,  2007, pages 1943-1950.
• L. Chen, Ş. Gündüz-Öğüdücü, and M. T. Özsu, "Mixed Type Audio Classification with Support Vector Machine", In Proceedings of  IEEE International Conference on Multimedia, Toronto, Canada, July 2006, pages 781-784.
• A. Ş. Uyar, Ş. Gündüz-Oğüdücü, "A New Graph-Based Evolutionary Approach to Sequence Clustering", Fourth International Conference on Machine Learning and Applications (ICMLA 2005), IEEE Press, 2005, pages 273-278. 
• Ş. Gündüz and E. Adalı, "Experimental Study of a Similarity Measure for Two Dimensional Sequences", In Proceedings of the 3rd Asia Pacific International Symposium on Information Technology, Istanbul, Turkey, Jan. 2004, pages 383-388.
  •  PDF version
• Ş. Gündüz and M. T. Özsu, "A Poisson Model for User Accesses to Web Pages", In Proceedings of Eighteenth International Symposium on Computer and Information Sciences (ISCIS XVIII), Antalya, Turkey, Nov. 2003, pages 332-339.
• Ş. Gündüz and M. T. Özsu, "A Web Page Prediction Model Based On Click-Stream Tree Representation of User Behavior", In Proceedings of Ninth ACM International Conference on Knowledge Discovery and Data Mining (KDD), Washington, DC, August 2003, pages 535-540.
  •  PDF version
• Ş. Gündüz and M. T. Özsu, "Recommendation Models for User Accesses to Web Pages", In Proceedings of Joint International Conference ICANN/ICONIP 2003, Istanbul, Turkey, June 2003, pages 1003-1010.
• Ş. Gündüz and M. T. Özsu, "A User Interest Model for Web Page Navigation", In Proceedings of International Workshop on Data Mining for Actionable Knowledge (DMAK), Seoul, Korea, April 2003, pages 46-57.
  •  PDF version

Technical Reports:

• Ş. Gündüz and M. T. Özsu, A User Interest Model for Web Page Navigation, CS-2002-35, University of Waterloo, October 2002.
  • PDF version

Ph.D. Thesis:

• Ph.D. Thesis: "Recommendation Models for Web Users: User Interest Model and Click-Stream Tree", Department of Computer Engineering, Institute of Science and Technology, Istanbul Technical University, 2003.

• M.Sc. Thesis: "Electrical Properties of Bone and Isolated Skeletal Muscle", Biomedical Engineering Institute, Boğaziçi University, 1995.