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References 1. Agirre, E., C. Banea, D. M. Cer, M. T. Diab, A. Gonzalez-Agirre, R. Mihalcea, G. Rigau, J. Wiebe. SemEval-2016. Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation. – In: SemEval@NAACL-HLT, 2016, pp. 497-511. 2. Cer, D., M. Diab, E. Agirre, I. Lopez-Gazpio, L. Specia. SemEval-2017. Task 1: Semantic Textual Similarity-Multilingual and Cross-Lingual Focused Evaluation. arXiv Preprint arXiv:1708.00055, 31 July 2017. 3. Euzenat, J., C. Meilicke, H. Stuckenschmidt, P. Shvaiko, C. Trojahn. Ontology Alignment Evaluation Initiative

, Damjanovich S, Gaspar R. Multiple binding sites for melatonin on Kv1.3. Biophys J 80, 1280-1297, 2001. Weekley LB. Melatonin-induced relaxation of rat aorta: interaction with adrenergic agonists. J Pineal Res 11, 28-34, 1991. Williams WR. Relative molecular similarity within purine nucleotide and ligand structures operating on nitric oxide synthetase guanylyl cyclase and potassium (KATP, BKCa) channels. J Pharm Pharmacol 63, 95-105, 2011. Williams WR. Cell signal transduction: hormones, neurotransmitters and therapeutic drugs relate to purine nucleotide structure. J Recept

dostępności mieszkań (Local housing markets in Poland - the similarity in terms of changes in transaction prices and availability of housing), Studia i Materiały Towarzystwa Naukowego Nieruchomości, vol. 20, No. 1, pp 71-90. DITTMANN I., 2013, Primary and secondary residential real estate markets in Poland - analogies in offer and transaction price development, Real Estate Management and Valuation, vol. 21, no. 1, pp. 39-48. DOMAŃSKI R., 2008, Gospodarka przestrzenna (Spatial economy), Wydawnictwo Naukowe PWN, Warszawa. FORYŚ I., 2011, Społeczno-gospodarcze determinanty

References 1. Lei, C., M. T. Ozsu, O. Vincent. Robust and Fast Similarity Search for Moving Object Trajectories. - In: Proc. of ACM’2005 SIGMOD International Conf. on Management of Data, Maryland, 2005, pp. 491-502. 2. Hazarath, M., I. Lucio, C. Luca. CAST: A Novel Trajectory Clustering and Visualization Tool for Spatio-Temporal Data. - In: Proc. of 1st International Conference on Intelligent Human Computer Interaction, India, 2009, pp. 169-175. 3. Hazarath, M., M. D. R. M. Sree, J. V. R. Murthy. DenTrac: A Density Based Trajectory Clustering Tool

. and Prade, H. (2004). On the use of aggregation operations in information fusion processes, Fuzzy Sets and Systems 142(1): 143-161. Duda, R., Hart, P. and Stork, G.D. (1973). Pattern Classification and Scene Analysis, John Wiley and Sons, New York, NY. Ezghari, S., Belghini, N., Zahi, A. and Zarghili, A. (2015). A gender classification approach based on 3D depth-radial curves and fuzzy similarity based classification, Intelligent Systems and Computer Vision Conference, Fez, Morocco, pp. 1-6. Fengqiu, L. and Xiaoping, X. (2012a). Constructing kernels by fuzzy rules

References [1] Linek, M., Application of similarity method of distance courses describing the elements content in pavement quality concrete , Journal of KONES Powertrain and Transport, Vol. 24, No. 4, pp. 393-398, 2017. [2] Linek, M., Nita, P., Application of similarity method of distance courses describing the elements content in typical cement concrete , Journal of KONES Powertrain and Transport, Vol. 25, No. 4, pp. 239-246, 2018. [3] Linek, M., Surface concrete with improved parameters of physical and mechanical on the loads caused by forced temperature

References [1] Linek, M., Application of ceramic dust as a modifier reducing the extent of rheological deformations in airfield pavement concrete , MATEC Web of Conferences 163, 2018. [2] Linek, M., Application of similarity method of distance courses describing the elements content in concrete intended for airfield pavements , Journal of KONES Powertrain and Transport, Vol. 24, No. 4, pp. 385-392, 2017. [3] Linek, M., Application of similarity method of distance courses describing the elements content in cement concrete after frost resistance test , Journal

., Castiglioni P., Taramino G. & Motto M. 1998. Comparative analysis of genetic similarity among maize inbred lines detected by RFLPs, RAPDs, SSRs, and AFLPs. Theor. Appl. Genet. 97: 248-1255. Rakoczy-Trojanowska M. & Bolibok H. 2004. Characteristics and a comparison of three classes of microsatellitebased markers and their application in plants. Cell. Mol. Biol. Lett. 9: 221-238. Rohlf F. J. 2001. NTSYS-pc numerical taxonomy and multivariate analysis system. Version 5.1. Exeter Publishing Ltd., Setauket, N. Y. Sakamoto S. 1973. Patterns of phylogenetic differentiation in the

CRYPTO , pages 451–468. Springer, 2008. [12] A. Ben-Efraim, Y. Lindell, and E. Omri. Optimizing Semi-Honest Secure Multiparty Computation for the Internet. In ACM Conference on Computer and Communications Security , pages 578–590, 2016. [13] C. Blundo, E. D. Cristofaro, and P. Gasti. EsPRESSo: Effi-cient privacy-preserving evaluation of sample set similarity. In DPM/SETOP , pages 89–103, 2012. [14] R. Bost, R. A. Popa, S. Tu, and S. Goldwasser. Machine learning classification over encrypted data. In NDSS , 2015. [15] S. Buyrukbilen and S. Bakiras. Secure similar

.3/Superstructure W. Reisig and G. Rozenberg, Eds. Lectures on Petri Nets I: Basic Models, LNCS vol.1491 , Berlin/Heidelberg: Springer, 1998. E. Blankenship, M. Woodward, G. Holliday and B. Keller, Professional Team Foundation Server 2010. Indianapolis: Wrox, 2011. Atlassian, "JIRA". [Online]. Available: http://www.atlassian.com/software/jira/ R. Dijkman, M. Dumas, B. V. Dongen, K. Reina and J. Mendling, "Similarity of Business Process Models: Metrics and Evaluation", Information Systems, vol. 36(2), pp. 498-516, Apr. 2011. OMG, "Business Process Model and Notation (BPMN