Georg Peters


Job titleHonorary Professor
Research instituteSchool of Arts and Humanities
Faculty of Education and Arts

Research outputs

Credit scoring using three-way decisions with probabilistic rough sets
Maldonado, Sebastian, Peters, Georg and Weber, Richard. (2020). Credit scoring using three-way decisions with probabilistic rough sets. Information Sciences. 507, pp. 700 - 714. https://doi.org/10.1016/j.ins.2018.08.001

Journal article

A computer-based framework supporting education in STEM subjects
Peters, Georg, Rueckert, Tom and Seruga, Jan. (2019). A computer-based framework supporting education in STEM subjects. In In Hammoudi, Slimane, Smialek, Michal, Camp, Oliver and Filipe, Joaquim (Ed.). Enterprise information systems pp. 1-21 Springer Nature. https://doi.org/10.1007/978-3-030-26169-6_1

Book chapter

dynXcube – categorizing dynamic data analysis
Peters, Georg and Weber, Richard. (2018). dynXcube – categorizing dynamic data analysis. Information Sciences. 463-464, pp. 21 - 32. https://doi.org/10.1016/j.ins.2018.06.026

Journal article

A framework supporting literacy in mathematics and software programming
Peters, Georg, Rueckert, Tom and Seruga, Jan. (2018). A framework supporting literacy in mathematics and software programming. Portugal: Scitepress. pp. 497 - 506 https://doi.org/10.5220/0006629304970506

Conference item

Some potentials of the R-Project Environment for teachers’ and students’ education in mathematics, algorithms’ programming and dynamic website development
Peters, Georg, Rueckert, Tom and Seruga, Jan. (2018). Some potentials of the R-Project Environment for teachers’ and students’ education in mathematics, algorithms’ programming and dynamic website development. United States of America: Association for he Advancement of Computing in Education (AACE). pp. 1816 - 1821

Conference item

DCC : A framework for dynamic granular clustering
Peters, Georg and Weber, Richard. (2016). DCC : A framework for dynamic granular clustering. Granular Computing. 1, pp. 1-11. https://doi.org/10.1007/s41066-015-0012-z

Journal article

A supply sided analysis of leading MooC platforms and universities
Peters, Georg and Seruga, Jan. (2016). A supply sided analysis of leading MooC platforms and universities. Knowledge Management and E-Learning. 8(1), pp. 158 - 181.

Journal article

A comparative analysis of MOOC - Australia's position in the international education market
Peters, Georg, Sacker, Doreen and Seruga, Jan. (2015). A comparative analysis of MOOC - Australia's position in the international education market. Australasian Conference on Information Systems. Australia: University of South Australia. pp. 1 - 10

Conference item

Is there any need for rough clustering?
Peters, Georg. (2015). Is there any need for rough clustering? Pattern Recognition Letters. 53, pp. 31 - 37. https://doi.org/10.1016/j.patrec.2014.11.003

Journal article

Assessing rough classifiers
Peters, Georg. (2015). Assessing rough classifiers. Fundamenta Informaticae. 137, pp. 493 - 515. https://doi.org/10.3233/FI-2015-1191

Journal article

Analysis of user-weighted pi rough k-means
Peters, Georg and Lingras, Pawan. (2014). Analysis of user-weighted pi rough k-means. In D Miao, W Pedrycz and D Slezak (Ed.). Rough Sets and Knowledge Technology. Switzerland: Springer. pp. 547 - 556 https://doi.org/10.1007/978-3-319-11740-9_50

Conference item

Tweeting politicians: An analysis of the usage of a micro blogging system
Roth, Matthias, Peters, Georg and Seruga, Jan. (2014). Tweeting politicians: An analysis of the usage of a micro blogging system. In S. Hammoudi, J. Cordeiro and L. A. Maciaszek & J. Filipe (Ed.). Cham, Switzerland: Springer. pp. 351 - 364 https://doi.org/10.1007/978-3-319-09492-2_21

Conference item

Rough clustering utilising the principle of indifference
Peters, Georg. (2014). Rough clustering utilising the principle of indifference. Information Sciences. 277, pp. 358 - 374. https://doi.org/10.1016/j.ins.2014.02.073

Journal article

An illustrative comparison of rough k-Means to classical clustering approaches
Peters, Georg and Crespo, Fernando. (2013). An illustrative comparison of rough k-Means to classical clustering approaches. In D Ciucci, M Inuiguchi and Y Yao (Ed.). Rough Sets, Fuzzy Sets, Data Mining and Granular Computing. Germany: Springer. pp. 337 - 344

Conference item

Soft clustering: Fuzzy and rough approaches and their extensions and derivatives
Peters, Georg, Crespo, Fernando, Lingas, Pawan and Weber, Richard. (2013). Soft clustering: Fuzzy and rough approaches and their extensions and derivatives. International Journal of Approximate Reasoning. 54(2), pp. 307 - 322. https://doi.org/10.1016/j.ijar.2012.10.003

Journal article

Some insights into the role of social media in political communication
Roth, Matthias, Peters, Georg and Seruga, Jan. (2013). Some insights into the role of social media in political communication. In S Hammoudi, L Maciaszek and J Cordeiro (Ed.). Proceedings of the 15th International Conference on Enterprise Information Systems. France: Institute for Systems and Technologies of Information, Control and Communication. pp. 353 - 362 https://doi.org/10.5220/0004418603510360

Conference item

Dynamic clustering with soft computing
Peters, Georg and Weber, Richard. (2012). Dynamic clustering with soft computing. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 2(3), pp. 226 - 236. https://doi.org/10.1002/widm.1050

Journal article

Tackling outliers in granular box regression
Peters, Georg and Lacic, Zdravko. (2012). Tackling outliers in granular box regression. Information Sciences. 212, pp. 44 - 56. https://doi.org/10.1016/j.ins.2012.05.006

Journal article

Current trends in product lifecycle management
Staisch, Adam, Peters, Georg, Stueckl, Thomas and Seruga, Jan. (2012). Current trends in product lifecycle management. In J Lamp (Ed.). Proceedings of the 23rd Australasian Conference on Information Systems. Geelong, Victoria, Australia: Deakin University Press. pp. 1 - 10

Conference item

Network Effects in the ERP Systems Market : An Analysis of the Implications of Business Intelligence and Cloud Computing
Peters, Georg and Seruga, Jan. (2012). Network Effects in the ERP Systems Market : An Analysis of the Implications of Business Intelligence and Cloud Computing. International Journal of Advanced Science and Technology. 43, pp. 105 - 114.

Journal article

Network Effects in the ERP Systems Market: An Analysis of the Implications of Business Intelligence and Cloud Computing
Peters, Georg and Seruga, Jan. (2012). Network Effects in the ERP Systems Market: An Analysis of the Implications of Business Intelligence and Cloud Computing. International Journal of Advanced Science and Technology. 43, pp. 105 - 114.

Journal article

Dynamic rough clustering and its applications
Peters, Georg, Weber, Richard and Nowatzke, René. (2012). Dynamic rough clustering and its applications. Applied Soft Computing Journal. 12(10), pp. 3193 - 3207. https://doi.org/10.1016/j.asoc.2012.05.015

Journal article

Cross media and e-publishing
Rogobete, Carina, Peters, Georg and Seruga, Jan. (2012). Cross media and e-publishing. International Journal of u- and e- Service, Science and Technology. 5(2), pp. 17 - 29.

Journal article

Rough clustering
Lingras, Pawan and Peters, Georg. (2011). Rough clustering. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 1(1), pp. 64 - 72. https://doi.org/10.1002/widm.16

Journal article

The effectiveness of electronic communication
Peters, Georg, Seruga, Jan and Zellmer, V.. (2011). The effectiveness of electronic communication. In B. White, P. Isaias and F. M. Santoro (Ed.). Proceedings of the IADIS International Conference WWW/Internet 2011. Brazil: IADIS Press. pp. 616 - 619

Conference item

Analyzing IT business values – A Dominance based Rough Sets Approach perspective
Peters, Georg and Poon, Simon. (2011). Analyzing IT business values – A Dominance based Rough Sets Approach perspective. Expert Systems with Applications. 38(9), pp. 11120 - 11128. https://doi.org/10.1016/j.eswa.2011.02.157

Journal article

Granular box regression
Peters, Georg. (2011). Granular box regression. IEEE Transactions on Fuzzy Systems. 19(6), pp. 1141 - 1152. https://doi.org/10.1109/TFUZZ.2011.2162416

Journal article

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