Petrounias, I., Tseng, A., Kolev, B., Chountas, P. and Kodogiannis, V. 2004. An intuitionistic fuzzy component based appoach for identifying web usage patterns. in: Yager, R.R. and Sgurev, V.S. (ed.) 2nd IEEE International Conference on Intelligent Systems, 22-24 Jun 2004, Varna, Bulgaria: proceedings USA IEEE .
Rhemat, I., Chountas, P. and Roubert, F. 2024. Business Process Data Oriented Quality: the case of Mellitah Oil & Gas. 5th International Conference on Data Analytics & Management (ICDAM-2024). London Metropolitan University, London, UK 14 - 15 Jun 2024 Springer.
Chountas, P. and Petrounias, I. 2001. Virtual integration of temporal and conflicting information. in: 2001 International Database Engineering & Applications Symposium: proceedings: 16-18 July, 2001, Grenoble, France California, USA IEEE . pp. 243-248
Tseng, A., Petrounias, I. and Chountas, P. 2003. A complete framework for Web mining. in: IEEE International Conference on Systems, Man and Cybernetics, 2003 Los Alamitos, USA IEEE .
Chountas, P., Vasilakis, C., El-Darzi, E., Petrounias, I. and Tseng, A. 2003. Data warehouses-TOLAP-decision making. in: IEEE International Conference on Systems, Man and Cybernetics, 2003 USA IEEE .
Chountas, P. and Kodogiannis, V. 2004. Development of a clinical data warehouse. in: Desai, B.C. (ed.) IDEAS Workshop on Medical Information Systems: the digital hospital USA IEEE . pp. 8-14
Vasilakis, C., El-Darzi, E. and Chountas, P. 2006. An OLAP-enabled software environment for modelling patient flow. in: Proceedings of the 3rd International IEEE Conference on Intelligent Systems Los Alamitos, USA IEEE . pp. 261-266
Huang, W., El-Darzi, E., Chountas, P. and Liu, P. 2006. Agent-based models for community care systems analysis and design. in: Proceedings of the 3rd IEEE International Conference on Intelligent Systems (IS-2006) Los Alamitos, USA IEEE . pp. 278-283
Rogova, E., Chountas, P. and Atanassov, K.T. 2007. Flexible hierarchies and fuzzy knowledge-based OLAP. in: Proc. of Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. IEEE . pp. 7-11
Vasilakis, C., El-Darzi, E. and Chountas, P. 2004. A data warehouse environment for storing and analyzing simulation output data. in: Ingalls, R.G., Rossetti, M.D., Smith, J.S. and Peters, B.A. (ed.) Proceedings of the 2004 Winter Simulation Conference USA IEEE .
Tasseva, V., Peneva, D., Atanassov, K.T., El-Darzi, E., Chountas, P. and Vasilakis, C. 2007. Generalized Net Model for Outpatient Care in Bulgaria. in: Proc of Twentieth IEEE International Symposium on Computer-Based Medical Systems, 2007. CBMS '07. IEEE . pp. 701
Chountas, P., Rogova, E., Mohammed, S. and Atanassov, K.T. 2008. The notion of H-IFS -an approach for enhancing query capabilities in Oracle10g. in: Proceedings of the 4th International IEEE Conference on Intelligent Systems IS'08. Varna, Bulgaria, September, 6-8 2008 Los Alamitos, USA IEEE . pp. 569-574
Kapetanios, E. and Chountas, P. 2005. MDDQL: an ontology driven, multi-lingual query language and system for an integrated view of heterogeneous data sources. Semantic Technology Conference 2005. California, USA 07-10 Mar 2005
Rogova, E., Chountas, P. and Atanassov, K.T. 2008. The notion of H-IFS in data modelling. in: IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2008) (IEEE World Congress on Computational Intelligence) IEEE . pp. 1399-1405
Urumov, G. and Chountas, P. 2022. Essay on Volatility Clusters and Time Series Prediction. 2022 IEEE 11th International Conference on Intelligent Systems (IS). Warsaw, Poland 12 - 14 Oct 2022 IEEE . https://doi.org/10.1109/is57118.2022.10019619
Urumov, G. and Chountas, P. 2022. Clustering stock price volatility using intuitionistic fuzzy sets . Notes on Intuitionistic Fuzzy Sets. 28 (3), pp. 343-352. https://doi.org/10.7546/nifs.2022.28.3.343-352
Georgy Urumov, Panagiotis Chountas and Thierry Chaussalet 2024. Fuzzy Fractional Brownian Motion: Review and Extension. Algorithms. 17 (7) 289. https://doi.org/10.3390/a17070289
Rogova, E. 2010. Treatment of imprecision in data repositories with the aid of KNOLAP. PhD thesis University of Westminster School of Electronics and Computer Science https://doi.org/10.34737/907q7
Ibrahim, Ahmed 2024. Understanding BITCOIN Market Mechanics Using Feature Engineering, Data Modeling, and Forecasting Methods. PhD thesis University of Westminster Computer Science and Engineering https://doi.org/10.34737/wvx46
Aldraimli, M. 2023. Predictive Modelling Approach to Data-Driven Computational Preventive Medicine. PhD thesis University of Westminster Computer Science and Engineering https://doi.org/10.34737/w4ww2