Author: Tzimas G.

Ioannou, Z.M., Nodarakis, N., Sioutas, S., Tsakalidis, A.K. & Tzimas, G. (2014), ‘Mining Biological Data on the Cloud – A MapReduce Approach’, in the Proceedings of the3rd Mining Humanistic Data Workshop (MHDW 2014) organized in the 10th Artificial Intelligence Applications and Innovations Conference (AIAI 2014), September 19-21, 2014, Island of Rhodes, Greece, Springer Berlin Heidelberg, IFIP Advances in Information and Communication Technology, ISBN 978-3-662-44721-5, vol. 437, pp. 96-105, DOI: 10.1007/978-3-662-44722-2_11.

Nodarakis, N., Pitoura, E., Sioutas, S., Tsakalidis, A., Tsoumakos, D. & Tzimas, G. (2014), ‘Efficient Multidimensional AkNN Query Processing in the Cloud’, in the Proceedings of the 25th International Conference on Database and Expert Systems Applications (DEXA 2014), September 01-05, 2014, Munich Germany, Springer International Publishing, Lecture Notes in Computer Science, ISBN 978-3-319-10072-2, vol. 8644, pp. 477-491, DOI: 10.1007/978-3-319-10073-9_41.

Kagklis, V., Verykios, V., Tzimas, G. & Tsakalidis, A. (2014), ‘An Integer Linear Programming Scheme to Sanitize Sensitive Frequent Itemsets’, in the Proceedings of the IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2014), November 10-12, 2014, Limassol, Cyprus, IEEE Press, ISSN :1082-3409, pp. 771-775, DOI: 10.1109/ICTAI.2014.119.

Perikos, I., Angelopoulos, P., Paraskevas, M., Zarouchas, T. & Tzimas, G. (2014), ‘A Methodology for Evaluation and Knowledge Extraction from On-going Learning Process’, in the Proceedings of the 17th IEEE International Conference on Computational Science and Engineering (CSE 2014), December 19-21, 2014, Chengdu, China, IEEE Press, ISBN 978-1-4799-7980-6, pp. 425-431, DOI: 10.1109/CSE.2014.106.

Makris, C., Plegas, Y., Tzimas, G. & Viennas, E., (2014) ‘Improving Search Engines’ Document Ranking Employing Semantics and an Inference Network’, as selected paper from WEBIST 2013, in Krempels, K.H. , Stocker, A. (eds), Web Information Systems and Technologies, Lecture Notes in Business Information Processing, Springer Berlin Heidelberg, ISBN: 978-3-662-44299-9, vol. 189, pp. 138-153, DOI: 10.1007/978-3-662-44300-2_9.

Giardine, B., Borg, J., Viennas, E., Pavlidis, C., Moradkhani, K., Joly, P., Bartsakoulia, M., Riemer, C., Miller, W., Tzimas, G., Wajcman, H., Hardison, R.C.& Patrinos, G.P. (2014), “Updates of the HbVar Database of Human Hemoglobin Variants and Thalassemia Mutations”, Nucleic Acids Research – Database Issue, Oxford University Press, ISSN 0305-1048, vol. 42, no. 1, pp. D1063-9, DOI: 10.1093/nar/gkt911 (Impact Factor: 8.808).

Papadopoulos, P., Viennas, E., Gkantouna, V., Pavlidis, C., Bartsakoulia, M., Ioannou, Z-M., Ratbi, I., Sefiani, A., Tsaknakis, J., Poulas, K., Tzimas, G. & Patrinos, G.P. (2014), “Developments in FINDbase worldwide database for clinically relevant genomic variation allele frequencies”, Nucleic Acids Research – Database Issue, Oxford University Press, ISSN 0305-1048, vol. 42, no. 1, pp. D1020-6, DOI: 10.1093/nar/gkt1125 (Impact Factor: 8.808).

Ioannou, Z-M., Makris, Ch., Patrinos, G.P. & Tzimas, G. (2014), “A Set of Novel Mining Tools for Efficient Biological Knowledge Discovery”, Artificial Intelligence Review, Springer, ISSN: 0269-2821, vol. 42, pp. 461-478, DOI: 10.1007/s10462-013-9413-z (Impact Factor: 2.111).

Faliagka, E., Iliadis, L., Karydis, I., Rigou, M., Sioutas, S., Tsakalidis, A. & Tzimas, G. (2014), “On-line Consistent Ranking on E-recruitment; Seeking the truth behind a well-formed CV”, Artificial Intelligence Review, Springer, ISSN: 0269-2821, vol. 42, pp. 515-528, DOI: 10.1007/s10462-013-9414-y (Impact Factor: 2.111).

Dalabira, E., Viennas, E., Daki, E., Komianou, A., Bartsakoulia, M., Poulas, K., Katsila, T., Tzimas, G. & Patrinos, G.P. (2014), ” DruGeVar: An Online Resource Triangulating Drugs with Genes and Genomic Biomarkers for Clinical Pharmacogenomics”, Public Health Genomics, Karger, ISSN: 1662-4246, vol. 17, no 5-6, pp. 265-271, DOI: 10.1159/000365895 (Impact Factor: 2.462).