DS-ITNT 2017
Data Science. Information Technology and Nanotechnology

Table of Contents

• Cover
  
  
• Preface
  
  
• Contents
  
  

Data Science

• The information-mathematical system of the borrower’s solvency prediction 1-4
  Venera А. Alekseeva, Yulia E. Kuvayskova
• Joint use of neural network technologies and decision trees for logical patterns exploration in data 5-10
  Vladimir N. Gridin, Vladimir I. Solodovnikov
• Control of component alterations according with the target efficiency of data processing and control system 11-16
  Vladimir E. Gvozdev, Murat B. Guzairov, Daniya V. Blinova, Aliya S. Davlieva
• Generalized model of pulse process for dynamic analysis of Sylov’s fuzzy cognitive maps 17-23
  Ruslan A. Isaev, Alexandr G. Podvesovskii
• Capabilities of the adaptive regression modeling package SSOR 24-27
  Gulnara R. Kadyrova, Tatiana E. Rodionova
• The analysis of technical object functioning stability as per the criterion of monitored parameters multivarite dispersion 28-31
  Vladimir N. Klyachkin, Irina N. Karpunina, Irina N. Karpunina
• The use of aggregate classifiers in technical diagnostics, based on machine learning 32-35
  Vladimir N. Klyachkin, Yulia E. Kuvayskova, Dmitriy А. Zhukov
• Investigation of the genetic algorithm possibilities for retrieving relevant cases from big data in the decision support systems 36-41
  Konstantin Serdyukov, Tatiana Avdeenko
• Big Data incorporation based on open services provider for distributed enterprises 42-47
  Oleg L. Surnin, Pavel V. Sitnikov, Anton V. Ivaschenko, Nataly Yu. Ilyasova, Sergey B. Popov
• Big Data analysis for demand segmentation of small business services by activity in region 48-53
  Vladimir М. Ramzaev, Irina N. Khaimovich, Vadim G. Chumak
• Matrix model of data and knowledge presentation to revealing regularities of the fluid flow regime in a pipeline based on hydrodynamics parameters 54-58
  Anna Yankovskaya, Alexey Travkov
• Prediction of cluster system load using artificial neural networks 59-63
  Yuriy S. Artamonov
• Network disruption prediction based on neural networks 64-67
  Dmitry S. Taimanov
• Automated system for modeling traffic of multiservice networks 68-71
  Boris Ya. Likhttsinder, Alexandr V. Kharkovsky, Sergey Yu. Antsinov
• Semantic analysis of text data with automated system 72-75
  Olesya Chernenko, Olga Gordeeva
• Modeling of online social networks for automated monitoring system 76-79
  Yuri B. Savva, Yulia V. Davydova
• Development and research of algorithms for clustering data of super-large volume 80-83
  Igor А. Rytsarev, Alexander V. Blagov, Maximilian I. Khotilin
• Research and analysis of links in social networks 84-87
  Maximilian I. Khotilin, Alexander V. Blagov, Igor А. Rytsarev
• The analysis of profiles on social networks 88-91
  Vladislav A. Bakayev, Alexander V. Blagov
• Algorithms of the information stimulation system of Russian citizens’ socio-optimal actions 92-99
  Mikhail I. Geraskin
• Design patterns of database models as storage systems for experimental information in solving research problems 100-106
  Denis E. Yablokov
• Comparative analysis of CRM-systems 107-109
  Elena Z. Glazunova, Vladimir V. Kovelskiy
• The role of subprocess-connector in business process modeling 110-114
  Kamelia Shoilekova, Katalina Grigorova, Elena Malysheva
• Application of data mining and process mining approaches for improving e-learning processes 115-121
  Katalina Grigorova, Elena Malysheva, Sergey Bobrovskiy
• Teacher attitudes in the design of learning activities through technology 122-127
  Ruth Martinez-Lopez, Carmen Yot, Mirco Sacchini
• Construction of the problem area ontology based on the syntagmatic analysis of external wiki-resourcesy 128-134
  Anton A. Zarubin, Albina R. Koval, Vadim S. Moshkin, Aleksey A. Filippov

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2017-09-06: submitted by Denis Kudryashov, metadata incl. bibliographic data published under Creative Commons CC0
2017-09-07: published on CEUR-WS.org |valid HTML5|