List of publications

 

Edited Journal Special Issues 

 

Publications in refereed Int’l Journals

      i.        Tatsis V.A., Tjortjis C., Tzirakis P., "Evaluating data mining algorithms using molecular dynamics trajectories", Int’l Journal of Data Mining and Bioinformatics (IJDMB), Vol. 8, No. 2, pp. 169-187, 2013 (Inderscience), ISSN: 1748-5673.

    ii.         Kanellopoulos Y., Antonellis P., Tjortjis C. Makris C. and Tsirakis N., “k-Attractors: A Partitional Clustering Algorithm for Numeric Data analysis”, Applied Artificial Intelligence, Vol. 25 No.2, February 2011, pp. 97-115, (Taylor & Francis) ISSN: 0883-9514.

   iii.         Kanellopoulos Y., Antonellis P., Antoniou D., Makris C., Theodoridis E., Tjortjis C., Tsirakis N., “Code Quality Evaluation methodology using the ISOIEC 9126 Standard”, Int’l Journal of Software Engineering & Applications,Vol.1, No.2, July 2010, pp. 17-36, (AIRCC), ISSN 0976-2221.

   iv.         Denaxas S. and Tjortjis C., “A GO-driven semantic similarity measure for quantifying the biological relatedness of gene products”, Intelligent Decision Technologies, Vol. 3, No 4, 2009, pp. 239-248, (IOS Press), ISSN: 1872-4981.

     v.         Zhang S., Tjortjis C., Zeng X., Qiao H., Buchan I., and Keane J., “Comparing Data Mining Methods with Logistic Regression in Childhood Obesity PredictionInformation Systems Frontiers Journal, Vol. 11, No. 4, September 2009, pp. 449-460, (Springer), ISSN 1387-3326.  

   vi.         Antonellis P., Antoniou D., Kanellopoulos Y., Makris C., Theodoridis E., Tjortjis C., Tsirakis N., “Clustering for Monitoring Software Systems Maintainability Evolution”, Electronic Notes in Theoretical Computer Science, (Elsevier), Vol. 233, March 2009, pp. 43-57, ISSN 1571-0661

 vii.         Denaxas S. and Tjortjis C., “Scoring and summarizing gene product clusters using the Gene Ontology”, Int'l Journal of Data Mining and Bioinformatics, Vol. 2, No. 3, 2008, pp.216- 235, (Inderscience), ISSN 1748-5673.

viii.         Tjortjis C., Saraee M., Theodoulidis B., Keane J.A, “Using T3, an Improved Decision Tree Classifier, for Mining Stroke Related Medical Data”, Methods of Information in Medicine, Vol. 46, No. 5, October 2007, pp. 523-529, (Schattauer GmbH), ISSN 0026-1270. Executable version of T3

   ix.         Kaldis E., Koukoravas K., and Tjortjis C., “Re-engineering Academic Teams towards a Network Organizational Structure”, Decision Sciences Journal of Innovative Education, Vol. 5 No. 2, July 2007, pp. 245-266, (Blackwell Publishing), ISSN 1540-4595.

     x.         Kanellopoulos Y., Makris C. and Tjortjis C., An Improved Methodology on Information Distillation by Mining Program Source Code”, Data & Knowledge Engineering, Vol. 61, No 2, May 2007, pp. 359-383, (Elsevier), ISSN 0169-023X.

   xi.         Kanellopoulos Y., Dimopoulos T., Tjortjis C. and Makris C., “Mining Source Code Elements for Comprehending Object-Oriented Systems and Evaluating Their Maintainability”, ACM SIGKDD Explorations Vol. 8. No. 1, pp. 33-40, June 2006, (ACM Press), ISSN 1931-0145.

 

Publications in Lecture Notes in Computer Science Series

1.    Papas D. and Tjortjis C., "Combining Clustering and Classification for Software Quality Evaluation", SETN 2014, LNCS 8445, pp. 273–286, 2014

2. Karageorgos A. , Avramouli D., Tjortjis C., Ntalos G., “Agent-based Digital Networking in Furniture Manufacturing Enterprises”, in Communications in Computer and Information Science (CCIS) Series of Springer LNCS, 2010.

3.    Muyeba M., Khan M., Malik, Z. and Tjortjis C., 'Towards Healthy Association Rule Mining (HARM): A Fuzzy Quantitative Approach', in Lecture Notes Computer Science, Vol. 4224, pp.1014-1022, 2006, ISSN: 0302-9743.

4.    Wang C., and Tjortjis C., 'PRICES: An Efficient Algorithm for Mining Association Rules' in Lecture Notes Computer Science Vol. 3177, pp. 352-358, 2004, ISSN: 0302-9743.

5.    Dong L. and Tjortjis C., 'Experiences of Using a Quantitative Approach for Mining Association Rules' in Lecture Notes Computer Science Vol. 2690, pp. 693-700, 2003, ISSN: 0302-9743.

6.    Tjortjis C. and Keane J.A, 'T3: an Improved Classification Algorithm for Data Mining' in Lecture Notes Computer Science Vol. 2412, pp. 50-55, 2002, ISSN: 0302-9743.Executable version of T3.

Executable version of T3C . To execute use: /T3C -f data/heart -m 0.2 -u (-m sets the Maximum Acceptable Error. For help use:./T3C -h)

	Data points for the "med_123" data and names file

 

 

Publications in refereed Int’l Conferences

7.    Gerogiannis V.C., Karageorgos A., Liu L., and Tjortjis C., "Personalised Fuzzy Recommendation for High Involvement Products", IEEE Int'l Conf. Systems, Man, and Cybernetics (SMC 2013), pp. 4884-4890, 2013.

8. Karageorgos A., Avramouli D., Vasilopoulou K., Tjortjis C., Ntalos G., “Towards Agent-based ‘Smart’ Collaboration in Enterprise Networks”, in 8th  Int'l Workshop on Agent-based Computing for Enterprise Collaboration (ACEC) at WETICE 2010.

9.    Singer J., Tjortjis C. and Ward M., "Using Software Metrics to Evaluate Static Single Assignment Form in GCC”, in Proc. 2nd Int’l Workshop on GCC Research Opportunities (GROW'10), pp. 73-88, 2010.

10.    Tjortjis C., and Visser J., “3rd International Workshop on Software Quality and Maintainability”, Proc. IEEE 13th European Conf. Software Maintenance and Reengineering (CSMR 2009), IEEE Comp. Soc. Press, pp. 271-272, 2009.

11.    Antonellis P., Antoniou D., Kanellopoulos Y., Makris C., Theodoridis E., Tjortjis C., Tsirakis N., “Code4Thought Project: Employing the ISO/IEC-9126 standard for Software Engineering - Product Quality Assessment”, at the 13th European Conf. Software Maintenance and Reengineering (CSMR 09).

12. Antonellis P., Antoniou D.,  Kanellopoulos Y., Makris C., Theodoridis E., Tjortjis C., Tsirakis N., “Employing Clustering for Assisting Source Code Maintainability Evaluation according to ISO/IEC-9126”, at the Artificial Intelligence Techniques in Software Engineering Workshop (AISEW 2008) in ECAI08.

13. Kanellopoulos Y., Heitlager I., Tjortjis C., and Visser J., “Interpretation of Source Code Clusters in Terms of ISO/IEC-9126 Quality Aspects”, at the 12th European Conf. Software Maintenance and Reengineering (CSMR 08).

14. Antonellis P., Antoniou D., Kanellopoulos Y., Makris C., Theodoridis E., Tjortjis C., Tsirakis N., “Monitoring the Evolution of Software Systems Maintainability”, Proc. special sessions in IEEE 12th European Conference on Software Maintenance and Reengineering (CSMR 2008), 2008.

15. Kanellopoulos Y., Antonellis P., Tjortjis C. and Makris C., “k-Attractors: A Clustering Algorithm for Software Measurement Data Analysis”, Proc. 19th IEEE Int’l Conf. on Tools with Artificial Intelligence, (ICTAI 07), pp.358-365.

16. Tjortjis C., and Wang C., “HybridSet: An Effective Approach to Association Rule Mining”, abstract in Proc. 22nd European Conf. on Operational Research EURO XXII.

17. Antonellis P., Antoniou D., Kanellopoulos Y., Makris C., Theodoridis E., Tjortjis C., Tsirakis N., “A Data Mining Methodology for Evaluating Maintainability according to ISO/IEC-9126 Software Engineering-Product Quality Standard”, Proc. special sessions in IEEE 11th European Conf. on Software Maintenance and Reengineering (CSMR 2007), 2007, pp.81-89.

18. Denaxas S. and Tjortjis C., 'Quantifying the Biological Similarity between Gene Products Using GO: An Application of the Vector Space Model', at the IEEE Information Technology in Biomedicine (ITAB 2006).

19. Marchant J., Tjortjis C., and Turega M., 'A Metric of Confidence in Requirements Gathered from Legacy Systems: Two Industrial Case Studies' at the IEEE 10th European Conf. Software Maintenance and Reengineering (CSMR 2006).

20. Rousidis D. and Tjortjis C., 'Clustering data retrieved from Java source code to support software maintenance: A case study', at the IEEE 9th European Conf. Software Maintenance and Reengineering (CSMR 2005).

21. Denaxas S. and Tjortjis C., 'Building a multi-level database for efficient information retrieval: A framework definition', at the IASTED Int'l Conf. on Software Engineering (SE 2005).

22. Kanellopoulos Y. and Tjortjis C., 'Data Mining Source Code to Facilitate Program Comprehension: Experiments on Clustering Data Retrieved from C++ Programs', at the IEEE 12th Int'l Workshop on Program Comprehension (IWPC 2004).

23. Tjortjis C., Sinos L. and Layzell P.J., 'Facilitating Program Comprehension by Mining Association Rules from Source Code', at the IEEE 11th Int'l Workshop Program Comprehension (IWPC 03).

24. Tjortjis C., Gold N., Layzell P.J. and Bennett K., 'From System Comprehension to Program Comprehension' at the IEEE 26th Int’l Computer Software Applications Conf. (COMPSAC 02)

25. Tjortjis C., Dafoulas G., Layzell P.J., Macaulay L., 'A Model for Selecting CSCW Technologies for Distributed Software Maintenance Teams in Virtual Organisations' at the IEEE 26th Int’l Computer Software Applications Conf. (COMPSAC 02)

26. Chen K., Tjortjis C. and Layzell P.J., 'A Method for Legacy Systems Maintenance by Mining Data Extracted from Source Code' at the IEEE 6th European Conf. on Software Maintenance and Reengineering (CSMR 2002)

27. Tjortjis C. and Layzell P.J., 'Using Data Mining to Assess Software Reliability' at the IEEE 12th Int'l Symposium on Software Reliability Engineering (ISSRE2001),

28. Tjortjis C. and Layzell P.J., 'Expert Maintainers' Strategies and Needs when Understanding Software: A Qualitative Empirical Study' at the IEEE 8th Asia-Pacific Software Engineering Conf. (APSEC 2001),

29. Karanikas H., Tjortjis C., Theodoulidis B., 'An approach to Text mining using Information Extraction' at the Proc. PKDD 2000 Workshop on Knowledge Management Theory & Applications (KMTA2000),

30. Scott R.I, Svinterikou S., Tjortjis C. and Keane J.A, 'Experiences of using Data Mining in a Banking Application' at the 2nd WSES/IEEE/IMCS Int'l Conf. on: Circuits, Systems and Computers (CSC'98).

 

Publications in refereed National Conferences

 

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nd technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright.

 

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