Peristeras, V., & Tarabanis, K. A. (2006). The connection, communication, consolidation, collaboration interoperability framework (C4IF) for information systems interoperability. Int. J. Interoperability Bus. Inf. Syst., 1, 61-72.

Berberidis, C., Tzanis, G., & Vlahavas, I. (2005, September). Mining for contiguous frequent itemsets in transaction databases. In 2005 IEEE Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications(pp. 679-685). IEEE.

Berberidis, C., & Vlahavas, I. (2005). Mining for weak periodic signals in time series databases. Intelligent Data Analysis, 9(1), 29-42.

Berberidis, C., Tzanis, G., & Vlahavas, I. (2005, September). Mining for contiguous frequent itemsets in transaction databases. In 2005 IEEE Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications(pp. 679-685). IEEE.

Tzanis, G., Berberidis, C., Alexandridou, A., & Vlahavas, I. (2005). Improving the accuracy of classifiers for the prediction of translation initiation sites in genomic sequences. In Advances in Informatics: 10th Panhellenic Conference on Informatics, PCI 2005, Volas, Greece, November 11-13, 2005. Proceedings 10(pp. 426-436). Springer Berlin Heidelberg.

Tzanis, G., Berberidis, C., & Vlahavas, I. (2008). Biological data mining. In Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications (pp. 1696-1705). IGI Global.

Peristeras, V., & Tarabanis, K. (2005). Providing pan-European e-government services with the use of Semantic Web services technologies: a generic process model. In Electronic Government: 4th International Conference, EGOV 2005, Copenhagen, Denmark, August 22-26, 2005. Proceedings 4 (pp. 226-236). Springer Berlin Heidelberg.

Berberidis, C., Angelis, L., & Vlahavas, I. (2004, August). PREVENT: An algorithm for mining intertransactional patterns for the prediction of rare events. In Proc. Second Starting AI Researchers’ Symposium (Vol. 9).

Berberidis, C., Angelis, L., & Vlahavas, I. (2004, May). Inter-transaction association rules mining for rare events prediction. In Proc. 3rd Hellenic Conference on Artificial Intellligence (p. 26).

Peristeras, V., & Tarabanis, K. (2004). Advancing the government enterprise architecture–GEA: the service execution object model. In Electronic Government: Third International Conference, EGOV 2004, Zaragoza, Spain, August 30-September 3, 2004. Proceedings 3 (pp. 476-482). Springer Berlin Heidelberg.