Table of Contents Data Science 1. The information-mathematical system of the borrower’s solvency prediction V.А. Alekseeva, Yu.E. Kuvayskova...………………….………………….……………………………………………………..1-4 DOI: 10.18287/1613-0073-2017-1903-1-4 2. Joint use of neural network technologies and decision trees for logical patterns exploration in data V.N. Gridin, V.I. Solodovnikov…………………………………………………………………………………………………5-10 DOI: 10.18287/1613-0073-2017-1903-5-10 3. Control of component alterations according with the target efficiency of data processing and control system V.E. Gvozdev, M.B. Guzairov, D.V. Blinova, A.S. Davlieva………………………………………………...……………….11-16 DOI: 10.18287/1613-0073-2017-1903-11-16 4. Generalized Model of Pulse Process for Dynamic Analysis of Sylov’s Fuzzy Cognitive Maps R.A. Isaev, A.G. Podvesovskii………………………………………………………………..……………………………….17-23 DOI: 10.18287/1613-0073-2017-1903-17-23 5. Capabilities of the adaptive regression modeling package SSOR G.R. Kadyrova, T.E. Rodionova..………………………………………………………………………….…………………..24-27 DOI: 10.18287/1613-0073-2017-1903-24-27 6. The analysis of technical object functioning stability as per the criterion of monitored parameters multivarite dispersion V.N. Klyachkin, I.N. Karpunina……………………………………………………………………………………………….28-31 DOI: 10.18287/1613-0073-2017-1903-28-31 7. The use of aggregate classifiers in technical diagnostics, based on machine learning V.N. Klyachkin, Yu.E. Kuvayskova, D.А. Zhukov……………………………………………………………………………32-35 DOI: 10.18287/1613-0073-2017-1903-32-35 8. Investigation of the genetic algorithm possibilities for retrieving relevant cases from big data in the decision support systems K. Serdyukov, T. Avdeenko..………………………………………………………………………………………………….36-41 DOI: 10.18287/1613-0073-2017-1903-36-41 9. Big Data incorporation based on Open Services Provider for distributed enterprises O.L. Surnin, P.V. Sitnikov, A.V. Ivaschenko, N.Yu. Ilyasova, S.B. Popov.………………………………………………….42-47 DOI: 10.18287/1613-0073-2017-1903-42-47 10. Big Data Analysis for Demand Segmentation of Small Business Services by Activity in Region V.М. Ramzaev, I.N. Khaimovich, V.G. Chumak.……………………………………………………………………………..48-53 DOI: 10.18287/1613-0073-2017-1903-48-53 11. Matrix model of data and knowledge presentation to revealing regularities of the fluid flow regime in a pipeline based on hydrodynamics parameters A. Yankovskaya, A. Travkov...………………………………………………………………………………………………..54-58 DOI: 10.18287/1613-0073-2017-1903-54-58 12. Prediction of Cluster System Load Using Artificial Neural Networks Y.S. Artamonov………………………………………………………………………………………………………………..59-63 DOI: 10.18287/1613-0073-2017-1903-59-63 13. Network disruption prediction based on neural networks D.S. Taimanov..………………………………………………………………………………………………………………..64-67 DOI: 10.18287/1613-0073-2017-1903-64-67 14. Automated system for modeling traffic of multiservice networks B.Ya. Likhttsinder, A.V. Kharkovsky, S.Yu. Antsinov..…………………………………………………………..…………..68-71 DOI: 10.18287/1613-0073-2017-1903-68-71 15. Semantic Analysis of Text Data with Automated System O. Chernenko, O. Gordeeva.…………………………………………………………………………………………………...72-75 DOI: 10.18287/1613-0073-2017-1903-72-75 16. Modeling of online social networks for automated monitoring system Yu.B. Savva, Yu.V. Davydova..……………………………………………………………………………………………….76-79 DOI: 10.18287/1613-0073-2017-1903-76-79 17. Development and research of algorithms for clustering data of super-large volume I.А. Rytsarev, А.V. Blagov, M.I. Khotilin……………………………………………………………………………………..80-83 DOI: 10.18287/1613-0073-2017-1903-80-83 18. Research and analysis of links in social networks M.I. Khotilin, A.V. Blagov, I.A. Rytsarev……………………………………………………………………………………..84-87 DOI: 10.18287/1613-0073-2017-1903-84-87 19. The analysis of profiles on social networks V.A. Bakayev, A.V. Blagov...……………………………..…………………………………………………………………..88-91 DOI: 10.18287/1613-0073-2017-1903-88-91 20. Algorithms of the information stimulation system of Russian citizens’ socio-optimal actions M.I. Geraskin.………………………………………………………………………………………………………………….92-99 DOI: 10.18287/1613-0073-2017-1903-92-99 21. Design patterns of database models as storage systems for experimental information in solving research problems D.E. Yablokov………………………………………………………………………………………………………………100-106 DOI: 10.18287/1613-0073-2017-1903-100-106 22. Comparative Analysis of CRM-systems E.Z. Glazunova, V.V. Kovelskiy……………………………………………………………………………………………107-109 DOI: 10.18287/1613-0073-2017-1903-107-109 23. The role of subprocess-connector in business process modeling K. Shoilekova, K. Grigorova, E. Malysheva………………………………………………………………………………..110-114 DOI: 10.18287/1613-0073-2017-1903-110-114 24. Application of Data Mining and Process Mining approaches for improving e-Learning Processes K. Grigorova, E. Malysheva, S. Bobrovskiy………………………………………………………………………………..115-121 DOI: 10.18287/1613-0073-2017-1903-115-121 25. Teacher attitudes in the design of learning activities through technology R. Martinez-Lopez, C. Yot, M. Sacchini..…………………………………………………………………………………..122-127 DOI: 10.18287/1613-0073-2017-1903-122-127 26. Construction of the problem area ontology based on the syntagmatic analysis of external wiki-resources A.A. Zarubin, A.R. Koval, V.S. Moshkin, A.A. Filippov…………………………………………………………………..128-134 DOI: 10.18287/1613-0073-2017-1903-128-134