Home‎ > ‎



J1.    C. Berberidis, I. Vlahavas, "Mining for weak periodic signals in time series databases", Journal of Intelligent Data Analysis, Volume 9(1), IOS Press, 2005.

J2.    C. Berberidis and I. Vlahavas, “Detection And Prediction Of Rare Events In Transaction Databases”, International Journal of Artificial Intelligence Tools (IJAIT), World Scientific, 16(5), pp. 829 – 848, 2007.

J3.    G. Tzanis and C. Berberidis, “Mining for Mutually Exclusive Items in Transaction Databases”, International Journal of Data Warehousing and Mining, David Taniar (Ed.), Idea Group Publishing, 3(3), 2007.

J4.    Tzanis G., Berberidis C. and Vlahavas P. I., "StackTIS: A Stacked Generalization Approach for Effective Prediction of Translation Initiation Sites", Computers in Biology and Medicine, Elsevier, November 2011. 

J5.    Efstratios Kontopoulos, Christos Berberidis, Theologos Dergiades, Nikolaos Bassiliades,  “Ontology-based Sentiment Analysis of Twitter Posts”, Expert Systems with Applications, Volume 40, Issue 10, August 2013, Pages 4065–4074

       Book chapters

A1.    G. Tzanis, C. Berberidis, I. Vlahavas, "Machine Learning and Data Mining in Bioinformatics", Handbook of Research on Innovations in Database Technologies and Applications: Current and     Future Trends, Viviana E. Ferraggine, Jorge H. Doorn, and Laura C. Rivero (Eds.), IDEA Group Publishing, 978-1-60566-242-8, February 2009.

A2.    G. Tzanis, C. Berberidis, I. Vlahavas, "Biological Data Mining" Encyclopedia of Database Technologies and Applications, Laura C. Rivero, Jorge H. Doorn and Viviana E. Ferraggine (Eds.), IDEA Group Publishing, April 2005.



C1.    C. Berberidis, A. G. Walid, M. Atallah, I. Vlahavas and A. K. Elmagarmid, "Multiple and Partial Periodicity Mining in Time Series Databases", Proc. 15th European Conference on Artificial Intelligence (ECAI 2002), pp. 370-374, Lyon, France, 2002, IOS Press, pp.370-374.

C2.    C. Berberidis, I. Vlahavas, W. G. Aref, M. Atallah and A. K. Elmagarmid, "On the Discovery of Weak Periodicities in Large Time Series", Proc. 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'02), Helsinki, Finland, August 2002, Springer-Verlag, LNAI, vol. 2431, pp.51-61.

C3.    C. Berberidis, I. Vlahavas, "Periodicity Mining in Industrial Data: A Real World Example on Power Data", Proc. First International Conference for Mathematics and Informatics for Industry (MII 2003), Thessaloniki, Greece, April 14-16 2003.

C4.    C. Berberidis, L, Angelis, I. Vlahavas, "Inter-transaction Association Rules Mining for Rare Events Prediction", In Proc. (companion volume) 3rd Hellenic Conference on Artificial Intelligence (SETN '04), Samos, Greece, 2004.

C5.    C. Berberidis, L, Angelis, I. Vlahavas, "PREVENT: An algorithm for mining inter-transactional patterns for the prediction of rare events", Proc. 2nd European Starting AI Researcher Symposium (STAIRS' 04), IOS Press, Valencia, Spain, 23-24 August 2004.

C6.    C. Berberidis, G. Tzanis, “Mining for Contiguous Frequent Itemsets in Transaction Databases”, IEEE Third International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS'2005), Sofia, Bulgaria, September 5-7, 2005.

C7.    G. Tzanis, C. Berberidis, A. Alexandridou, I. Vlahavas, "Improving the Accuracy of Classifiers for the Prediction of Translation Initiation Sites in Genomic Sequences", In Proc. 10th Panhellenic Conference on Informatics (PCI'2005), P. Bozanis and E.N. Houstis (Eds.), Springer-Verlag, LNCS 3746, pp. 426-436, Volos, Greece, 11-13 November 2005.

C8.    G. Tzanis, C. Berberidis, and I. Vlahavas, "On the Discovery of Mutually Exclusive Items in a Market Basket Database", In Proc. 2nd ADBIS Workshop on Data Mining and Knowledge Discovery (ADMKD 2006), Thessaloniki, Greece, September 6, 2006.

C9.    G. Tzanis, C. Berberidis and I. Vlahavas, “A Novel Data Mining Approach for the Accurate Prediction of Translation Initiation Sites”, In Proc. 7th International Symposium on Biological and Medical Data Analysis (ISBMDA 2006), Springer LNCS, Thessaloniki, Greece, December 7-8, 2006.

C10.    G. Tzanis, C. Berberidis, I. Vlahavas, “MANTIS: A Data Mining Methodology for Effective Translation Initiation Site Prediction”, Proceedings of the 29th Annual International Conference of    the IEEE Engineering in Medicine and Biology Society, IEEE, Lyon, France, 2007.

C11.    M. Befa, E. Kontopoulos, N. Bassiliades, C. Berberidis, I. Vlahavas, "Deploying a Semantically-Enabled Content Management System in a State University", Proceedings of EGOVIS 2010, K. N. Andersen et al. (Eds.), Springer, Heidelberg, LNCS 6267, pp. 257-264, 2010