BOOKS
| 1 | Provost, F., & Fawcett, Τ. (2019). Data science for Business (Eds. V.S. Verykios). Athens: Klidarithmos publications & O’Reilly Media, Inc. [in Greek]. |
| 2 | Verykios, V.S., Kotsiantis, S., Stavropoulos, H., & Tsagarakis, M. (2019). Data Science: Principals, Theory and Applications with the R Language. Athens: NewTech-Pub. [in Greek]. |
| 3 | Disser, Y. (2018). Algorithmic Aspects of Cloud Computing (Eds. V.S. Verykios). Springer. |
| 4 | Tan, P.N., Steinbach, M., Karpatne, A., & Kumar, V. (2018). Introduction to Data Mining-2nd Edition (Eds. V.S. Verykios). Thessaloniki: TZIOLA Publications. [in Greek]. |
| 5 | Verykios, V., Kagklis, V., Stavropoulos, I. (2015). Data Science with the R Language. [ebook] Athens: Hellenic Academic Libraries Link. Available Online at: https://repository.kallipos.gr/handle/11419/2965 |
| 6 | Verykios, V.S. (2014). Lessons in Data Bases. TZIOLA Publications. [in Greek]. |
| 7 | Gkoulalas-Divanis, A., & Verykios, V.S. (2010). Association Rule Hiding for Data Mining. Springer, US. |
| 8 | Tan, P.N., Steinbach, M., & Kumar, V. (2009). Introduction to Data Mining-1st Edition (Eds. V.S. Verykios). Thessaloniki: TZIOLA Publications. [in Greek]. |
| 9 | Ullman, J., & Widom, J. (2008). A First Course in Database Systems (Eds. V.S. Verykios). Athens: Klidarithmos publications. [in Greek]. |
| 10 | Dunham M.H. (2004). Data Mining (Eds. V.S. Verykios). Athens: NewTech-Pub. [in Greek]. |
CHAPTERS IN BOOKS
| 1 | Gkontzis A., Kalles D., Paxinou E., Tsoni R., & Verykios V. S. (2021). A Big Data Analytics Framework for a Smart City: A Case Study. Springer (to appear) |
| 2 | Krasadakis, P., Sakkopoulos, E., & Verykios, V. S. (2021). A Database Reconstruction Approach for the Inverse Frequent Itemset Mining Problem. In M., Virvou, G. A., Tsihrintzis, L. H., Tsoukalas & L. C., Jain (Eds.), Advances in Artificial Intelligence-based Technologies, pp. 45-58. Springer International Publishing. |
| 3 | Tsoni R., Sakkopoulos E., & Verykios S. V. (2021). Revealing Latent Student Traits in Distance Learning through SNA and PCA. Handbook on Intelligence Techniques in the Educational Process. Springer (to appear). |
| 4 | Feretzakis, G., Kalles, D., & Verykios, V.S. (2021). Knowledge Hiding in Decision Trees for Learning Analytics Applications. In G., Tsihrintzis. & M., Virvou. (Eds.), Advances and Core Computer Science-Based Technologies, pp. 37-54. Springer International Publishing. DOI: 10.1007/978-3-030-41196-1 |
| 5 | Gkoulalas-Divanis, A. & Verykios, V. S. (2009). Privacy in Trajectory Data. In E. Eyob (Eds.), Social Implications of Data Mining and Information Privacy: Interdisciplinary Frameworks and Solutions, pp. 199-212. IGI Global. http://doi:10.4018/978-1-60566-196-4.ch011 |
| 6 | Bonchi, F., Saygin, Y., Verykios, V. S., Atzori, M., Gkoulalas-Divanis, A., Kaya, S.V., & Savaś, E. (2008). Privacy in Spatiotemporal Data Mining. In: Giannotti F., Pedreschi D. (Eds.), Mobility, Data Mining and Privacy. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75177-9_12 |
| 7 | Pedreschi, D., Bonchi, F., Turini, F., Verykios, V. S., Atzori, M., Malin, B., Moelans, B., & Saygin, Y. (2008). In: Giannotti F., Pedreschi D. (Eds.), Mobility, Data Mining and Privacy. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75177-9_5 |
| 8 | Verykios V. S., Damiani M.L., Gkoulalas-Divanis A. (2008). Privacy and Security in Spatiotemporal Data and Trajectories. In: Giannotti F., Pedreschi D. (Eds.), Mobility, Data Mining and Privacy. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75177-9_9 |
