Murat Can Ganiz

Contact Info:

Courses:

List of courses I am currently teaching or have taught recently. For a complete list please click here

• Fall 2012
  • CSE 548: Social Network Analysis , Wed 19:00, H509
  • ISE 401: Data Warehousing and Mining, Thu 11:00 G603 for Section I and Wed 13:00 G603 for Section II
  • COME 355: Analysis of Algorithms, Thu 15:00 G603
• Spring 2012
  • LSC 613: Database, Internet, and System Integration Technologies , Thu H508
  • COME 342: Introduction to Software Engineering
• Fall 2011
  • CSE 618: Data Mining , Mon H508
  • CSE 528: Introduction to Text Mining , Wed H508
  • ISE 401: Data Warehousing and Mining, Thu 12:00 G609 for Section I and Wed 09:00 G608 for Section II
  • COME 373: Web Programming, Thu 17:00 G609

Research:

My research interests include Data Mining, Text Mining, Natural Language Processing, Social Network Analysis, Link Mining/Statistical Relational Learning, and Bioinformatics

Social Network Analysis and Data Mining (SoNADaM) Research Lab.
SoNADaM lab. is established to conduct research on data mining and social network analysis algorithms. Currently our data mining research efforts focused on text mining including classification and clustering of Turkish documents. Our aim is to develop new algorithms or improve existing ones by exploiting semantic information. Another area of interest is to apply SNA methods to improve the performance of text mining algorithms or vice versa. We are also interested in Sentiment Analysis.

Projects:

• TÜBİTAK 3501 Career Programme (National Young Researchers Career Development Programme)
  EEEAG, 111E239, May 2012, PI
• TÜBİTAK TEYDEB 1507 SME Funding Programme, 2012, Advisor

Publications & Patents:

• Poyraz, M., Kilimci, Z.H., Ganiz, M.C.(2012). A Novel Semantic Smoothing Method based on Higher Order Paths for Text Classification . IEEE International Conference on Data Mining (ICDM 2012) , December 10-13, 2012, Brussels, Belgium
• Uykan, Z., Ganiz, M.C., Sahinli, C. (2012). Discrete-Time Hopfield Neural Network Based Text Clustering Algorithm. 19th International Conference on Neural Information Processing (ICONIP 2012) , November 12-15, 2012, Doha, Qatar.
• Poyraz, M., Ganiz, M.C., Akyokus, S., Gorener, B., Kilimci, Z.H. (2012). Exploiting Turkish Wikipedia as a Semantic Resource for Text Classification. INISTA 2012, July 2-4, 2012, Trabzon, Turkiye.
• Ganiz, M., George, C., Pottenger, W.M.(2011). Higher Order Naïve Bayes: A Novel Non-IID Approach to Text Classification. IEEE Transactions on Knowledge and Data Engineering, vol. 23, no. 7, pp. 1022-1034, July 2011.
• Uykan, Z., Ganiz, M.C. (2011). Application of the SpecHybrid Algorithm to Text Document Clustering Problem. INISTA 2011, June, 2011, Istanbul, Turkiye.
• Torunoğlu, D., Çakırman, E., Ganiz, M.C., Akyokuş, S., Gürbüz, M.Z. (2011). Analysis of Preprocessing Methods on Classification of Turkish Texts. INISTA 2011 , June, 2011, Istanbul, Turkiye.
• Cazenave, I.O.U, Köşlük, E., Ganiz, M.C. (2011). An Anomaly Detection Framework for BGP. INISTA 2011, June, 2011, Istanbul, Turkiye.
• William M Pottenger, Nikita Lytkin, Murat C Ganiz (2010). Systems and Methods for Data Transformation Using Higher Order Learning. US Patent App. 12/797,366, 2010.
• Ganiz, M., Lytkin, N. , Pottenger, W.M. (2009). Leveraging Higher Order Dependencies between Features for Text Classification. In Proceedings of ECML/PKDD Conference, September, 2009, Bled, Slovenia.
• Ganiz, M., Pottenger, W.M., Kanitkar, S., Chuah, M.C. (2006). Detection of Interdomain Routing Anomalies Based on Higher-Order Path Analysis. In Proceedings of the Sixth IEEE International Conference on Data Mining (ICDM’06), December 2006, Hong Kong, China
• Li, S., Janneck, C.D., Belapurkar, A.P., Ganiz, M.C., Yang, X., Dilsizian, M., Wu, T., Bright, J.M., Pottenger, W.M. (2007). Mining Higher-Order Association Rules from Distributed Named Entity Databases. In Proceedings of IEEE International Conference on Intelligence and Security Informatics (ISI’07), May 2007, New Brunswick, NJ, U.S.A
• Ganiz, M., Pottenger, W.M. and Yang, X. (2006). Link Analysis of Higher-Order Paths in Supervised Learning Datasets . In Proceedings of the Workshop on Link Analysis, Counterterrorism and Security, 2006 SIAM Conference on Data Mining, Bethesda, MD, April.
• Li, S., Janneck, C.D., Pottenger, W.M., Belapurkar, A.P., Ganiz, M., Wu, T. (2006). Mining Higher-Order Association Rules from Distributed Named Entity Databases . Lehigh University, CSE Department, Technical Report, LU-CSE-06-005
• Ganiz, M., Pottenger, W.M., Janneck, C.D. (2005). Recent Advances in Literature Based Discovery . Lehigh University, CSE Department, Technical Report, LU-CSE-05-027

Education:

• Ph.D. in Computer Science, Lehigh University , PA, U.S.A, 2008.
• B.S. and M.S. in Computer Engineering, Selcuk University, 2000 and 2002.

Memberships:

• IEEE - Institute of Electrical and Electronics Engineers
• Computer Society

"Truth is stranger than fiction, but it is because Fiction is obliged to stick possibilities; Truth isn't." --Mark Twain

"Any sufficiently advanced technology is indistinguishable from magic" --Arthur C. Clarke, Profiles of the Future, 1962