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A. Wierzbicki, Brandes, U., Schweitzer, F., and Pedreschi, D., Advances in Network Science: 12th International Conference and School, NetSci-X 2016, Wroclaw, Poland, January 11-13, 2016, Proceedings. 2016.
R. Wagner, de Macêdo, J. A. F., Raffaetà, A., Renso, C., Roncato, A., and Trasarti, R., Mob-Warehouse: A semantic approach for mobility analysis with a Trajectory Data Ware- house, in SecoGIS 2013 - International Workshop on Semantic Aspects of GIS, Joint to ER conference 2013, Hong Kong, 2013.
M. Wachowicz, Ong, R., and Renso, C., Tailoring Moving Patterns to Contexts, in AGILE Conference, Leuven, Belgium, 2013, 2013.
M. Wachowicz, de Macêdo, J. A. F., Renso, C., and Ligtenberg, A., {The Role of a Multi-tier Ontological Framework in Reasoning to Discover Meaningful Patterns of Sustainable Mobility}, 2009.
M. Wachowicz and Renso, C., Spatio and Spatio-temporal Reasoning and Decision Support Tools, in Entry at Encyclopedia of Social Network Analysis and Mining, Springer., 2013.
M. Wachowicz, Ligtenberg, A., Renso, C., and Gürses, S. F., Characterising the Next Generation of Mobile Applications Through a Privacy-Aware Geographic Knowledge Discovery Process, in Mobility, Data Mining and Privacy, Mobility, Privacy, and Geography: a Knowledge Discovery vision, 2008, pp. 39-72.
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F. Turini, Baglioni, M., Furletti, B., and Rinzivillo, S., Examples of Integration of Induction and Deduction in Knowledge Discovery, in Reasoning, Action and Interaction in AI Theories and Systems, vol. 4155, 2006, pp. 307-326.
F. Turini, Baglioni, M., Furletti, B., and Rinzivillo, S., Examples of Integration of Induction and Deduction in Knowledge Discovery, in Reasoning, Action and Interaction in AI Theories and Systems, 2006, pp. 307-326.
F. Turini, Furletti, B., Baglioni, M., Spinsanti, L., and Bellandi, A., Ontology-Based Business Plan Classification, in Enterprise Distributed Object Computing Conference (EDOC), 2008.
F. Turini and Furletti, B., What else can be extracted from ontologies? Influence Rules, in Software and Data Technologies, Springer, 2012.
R. Trasarti, Pinelli, F., Nanni, M., and Giannotti, F., Individual Mobility Profiles: Methods and Application on Vehicle Sharing, in Twentieth Italian Symposium on Advanced Database Systems, {SEBD} 2012, Venice, Italy, June 24-27, 2012, Proceedings, 2012.
R. Trasarti, Pinelli, F., Nanni, M., and Giannotti, F., Mining mobility user profiles for car pooling, in KDD, 2011, pp. 1190-1198.
R. Trasarti, Giannotti, F., Nanni, M., Pedreschi, D., and Renso, C., A Query Language for Mobility Data Mining, IJDWM, vol. 7, pp. 24-45, 2011.
R. Trasarti, Rinzivillo, S., Pinelli, F., Nanni, M., Monreale, A., Renso, C., Pedreschi, D., and Giannotti, F., Exploring Real Mobility Data with M-Atlas, in ECML/PKDD (3), 2010, pp. 624-627.
R. Trasarti, Olteanu-Raimond, A. - M., Nanni, M., Couronné, T., Furletti, B., Giannotti, F., Smoreda, Z., and Ziemlicki, C., Discovering urban and country dynamics from mobile phone data with spatial correlation patterns, Telecommunications Policy, p. -, 2014.
R. Trasarti, Guidotti, R., Monreale, A., and Giannotti, F., MyWay: Location prediction via mobility profiling, Information Systems, vol. 64, pp. 350–367, 2017.
R. Trasarti, Baglioni, M., and Renso, C., DAMSEL: A System for Progressive Querying and Reasoning on Movement Data, in DEXA Workshops, 2009, pp. 452-456.
R. Trasarti, Bonchi, F., and Goethals, B., A new technique for sequential pattern mining under regular expressions, in SEBD, 2009, pp. 325-332.
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A. Sirbu and Babaoglu, O., A Holistic Approach to Log Data Analysis in High-Performance Computing Systems: The Case of IBM Blue Gene/Q, in Euro-Par 2015: parallel Processing Workshops, LNCS 9523, 2015.
A. Sirbu and Babaoglu, O., Predicting System-level Power for a Hybrid Supercomputer, in 2016 International Conference on High Performance Computing Simulation (HPCS), Innsbruck, Austria, 2016.
A. Sirbu and Babaoglu, O., Towards Data-Driven Autonomics in Data Centers, in IEEE International Conference on Cloud and Autonomic Computing, 2015.
A. Sirbu, Crane, M., and Ruskin, H. J., Data Integration for Microarrays: Enhanced Inference for Gene Regulatory Networks, Microarrays, vol. 4, pp. 255–269, 2015.
A. Sirbu and Babaoglu, O., Power Consumption Modeling and Prediction in a Hybrid CPU-GPU-MIC Supercomputer, 22nd International European Conference on Parallel and Distributed Computing, Euro-Par 2016, vol. LNCS 9833. Springer LNCS, Grenoble, France, 2016.
A. Sirbu, Crane, M., and Ruskin, H. J., EGIA–Evolutionary Optimisation of Gene Regulatory Networks, an Integrative Approach, in Complex Networks V, Springer International Publishing, 2014, pp. 217–229.

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