Написать рефераты, курсовые и дипломы самостоятельно.  Антиплагиат.
Студенточка.ru: на главную страницу. Написать самостоятельно рефераты, курсовые, дипломы  в кратчайшие сроки
Рефераты, курсовые, дипломные работы студентов: научиться писать  самостоятельно.
Контакты Образцы работ Бесплатные материалы
Консультации Специальности Банк рефератов
Карта сайта Статьи Подбор литературы
Научим писать рефераты, курсовые и дипломы.


подбор литературы периодические источники литература по предмету

Воспользуйтесь формой поиска по сайту, чтобы подобрать полный список использованной литературы.
Если вы хотите выбрать для списка литературы книги определенного года издания, достаточно дописать его к поисковому запросу.

Результаты поиска

Поиск материалов

Лучшие результаты

  1. Francisco Martinez Alvarez. Advanced Time Series Forecasting Using Data Mining Techniques. – М.: LAP Lambert Academic Publishing, 2010. – 164 с.

Дополнительные результаты

  1. Ngai Hang Chan. Time Series : Applications to Finance (Wiley Series in Probability and Statistics). – М.: , 0. – 0 с.
  2. Peter M. Robinson. Time Series With Long Memory (Advanced Texts in Econometrics). – М.: , 0. – 0 с.
  3. Philip Rothman. Nonlinear Time Series Analysis of Economic and Financial Data (Dynamic Modeling and Econometrics in Economics and Finance, V. 1). – М.: , 0. – 0 с.
  4. Douglas M. Patterson, Richard A. Ashley. A Nonlinear Time Series Workshop - A Toolkit for Detecting and Identifying Nonlinear Serial (DYNAMIC MODELING AND ECONOMETRICS IN ECONOMICS AND). – М.: , 0. – 0 с.
  5. Philip Hans Franses, Richard Paap. Periodic Time Series Models (Advanced Texts in Econometrics). – М.: , 0. – 0 с.
  6. Jacques Janssen, Christos H. Skiadas, Constantin Zopounidis. Advances in Stochastic Modelling and Data Analysis. – М.: , 0. – 0 с.
  7. Abdol S. Soofi, Liangyue Cao. Modelling and Forecasting Financial Data: Techniques of Nonlinear Dynamics (Studies in Computational Finance, Volume 2). – М.: , 0. – 0 с.
  8. Terence C. Mills. The Econometric Modelling of Financial Time Series. – М.: , 0. – 0 с.
  9. K. D. Patterson. An Introduction to Applied Econometrics: A Time Series Approach. – М.: , 0. – 0 с.
  10. Andrew C. Harvey. Forecasting, Structural Time Series Models and the Kalman Filter. – М.: Cambridge University Press, 1991. – 572 с.
  11. Russell Davidson, James G. MacKinnon. Estimation and Inference in Econometrics. – М.: Oxford University Press, 1993. – 896 с.
  12. Terence C. Mills. Modelling Trends and Cycles in Economic Time Series. – М.: Palgrave Macmillan, 2003. – 180 с.
  13. Christian L. Dunis, Bin Zhou. Nonlinear Modelling of High Frequency Financial Time Series (Financial Economics and Quantitative Analysis Series). – М.: , 0. – 0 с.
  14. Regina Kaiser, Agustin Maravall. Measuring Business Cycles in Economic Time Series (Lecture Notes in Statistics (Springer-Verlag), 154). – М.: , 0. – 0 с.
  15. Benjamin Kedem, Konstantinos Fokianos. Regression Models for Time Series Analysis (Wiley Series in Probability and Statistics). – М.: , 0. – 0 с.
  16. A. Reza Hoshmand. Business and Economic Forecasting for the Information Age : A Practical Approach. – М.: , 0. – 0 с.
  17. Christian Gourieroux, Alain Monfort, Giampiero M. Gallo. Time Series and Dynamic Models (Themes in Modern Econometrics). – М.: , 0. – 0 с.
  18. Christian L. Dunis. Forecasting Financial Markets : Exchange Rates, Interest Rates and Asset Management (Financial Economics and Quantitative Analysis Series). – М.: , 0. – 0 с.
  19. Boris Kovalerchuk, Evgenii Vityaev. Data Mining in Finance: Advances in Relational and Hybrid Methods (Kluwer International Series in Engineering and Computer Science, 547). – М.: , 0. – 0 с.
  20. Claudia Imhoff, Lisa Loftis, Jonathan G. Geiger. Building the Customer-Centric Enterprise: Data Warehousing Techniques for Supporting Customer Relationship Management. – М.: , 0. – 0 с.
  21. Stephan Kudyba, Richard Hoptroff. Data Mining and Business Intelligence: A Guide to Productivity. – М.: , 0. – 0 с.
  22. Parag Pendharkar. Managing Data Mining Technologies in Organizations: Techniques and Applications. – М.: , 0. – 0 с.
  23. George Fernandez. Data Mining Using SAS Applications. – М.: , 0. – 0 с.
  24. Olivia Parr Rud. Data Mining Cookbook: Modeling Data for Marketing, Risk and Customer Relationship Management. – М.: , 0. – 0 с.
  25. Anatoly B. Schmidt. Quantitative Finance for Physicists : An Introduction (2academic Press Advanced Finance Series). – М.: , 2004. – 0 с.
  26. Alfred Greiner. The Forces of Economic Growth : A Time Series Perspective. – М.: , 2004. – 0 с.
  27. Daniel Straumann. Estimation in Conditionally Herteroscedastic Time Series Models. – М.: , 2004. – 0 с.
  28. Ruey S. Tsay. Analysis of Financial Time Series (Wiley Series in Probability and Statistics). – М.: , 2005. – 0 с.
  29. Francis E. H. Tay. Ordinary Shares. Exotic Methods: Financial Forecasting Using Data Mining Techniques. – М.: , 2003. – 0 с.
  30. Bruce L. Bowerman, Richard O'Connell, Anne Koehler. Forecasting, Time Series, and Regression (with CD-ROM) (Forecasting, Time Series, & Regression). – М.: , 2004. – 696 с.
  31. Nonlinear Time Series Analysis of Business Cycles, Volume 276 (Contributions to Economic Analysis). – М.: , 2006. – 460 с.
  32. Jianqing Fan, Qiwei Yao. Nonlinear Time Series: Nonparametric and Parametric Methods (Springer Series in Statistics). – М.: , 2005. – 552 с.
  33. Eric Zivot, Jiahui Wang. Modeling Financial Time Series with S-PLUSA®. – М.: , 2006. – 1002 с.
  34. Estela Bee Dagum, Pierre A. Cholette. Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series (Lecture Notes in Statistics). – М.: , 2006. – 410 с.
  35. Privacy-Preserving Data Mining: Models and Algorithms (Advances in Database Systems). – М.: , 2008. – 514 с.
  36. Bernhard Pfaff. Analysis of Integrated and Cointegrated Time Series with R (Use R). – М.: , 2008. – 188 с.
  37. Andre Lucas, Philip Hans Franses, Dick Van Dijk. Outlier Robust Analysis of Economic Time Series (Advanced Texts in Econometrics). – М.: , 2008. – 270 с.
  38. George E. P. Box, Gwilym M. Jenkins, Gregory C. Reinsel. Time Series Analysis: Forecasting and Control (Wiley Series in Probability and Statistics). – М.: , 2008. – 746 с.
  39. Data Mining Applications for Empowering Knowledge Societies. – М.: , 2008. – 356 с.
  40. Charles Halliman. Business Intelligence Using Smart Techniques: Environmental Scanning Using Text Mining and Competitor Analysis Using Scenarios and Manual Simulation, Revised Edition. – М.: , 2009. – 230 с.
  41. Yukio Ohsawa, Katsutoshi Yada. Data Mining for Design and Marketing (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series). – М.: , 2009. – 344 с.
  42. Peter J. Brockwell, Richard A. Davis. Introduction to Time Series and Forecasting. – М.: , 2010. – 456 с.
  43. Volatility and Time Series Econometrics: Essays in Honor of Robert Engle (Advanced Texts in Econometrics). – М.: , 2010. – 384 с.
  44. PERAL TOKTAS-PALUT. PREDICTING BANK FAILURES: A DATA MINING APPROACH. – М.: , 2010. – 252 с.
  45. Joao Gama. Knowledge Discovery from Data Streams (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series). – М.: , 2010. – 255 с.
  46. Simon DABLEMONT. Forecasting of High Frequency Financial Time Series: Concepts, Methods, Algorithms. – М.: , 2010. – 384 с.
  47. Esther A. Williams, John Mordechai Gottman. A User's Guide to the Gottman-Williams Time-Series Analysis Computer Programs for Social Scientists. – М.: , 0. – 0 с.
  48. Applied Time Series Econometrics (Themes in Modern Econometrics). – М.: , 2004. – 350 с.
  49. David M. Levine, Mark L. Berenson, Timothy C. Krehbiel, David F. Stephan. Statistics for Managers using MS Excel (6th Edition) (MyStatLab Series). – М.: , 2010. – 840 с.
  50. Walter Enders. Applied Econometric Times Series. – М.: Wiley, 2010. – 544 с.
  51. Tom Soukup, Ian Davidson. Visual Data Mining: Techniques and Tools for Data Visualization and Mining. – М.: Wiley Publishing, Inc, 2002. – 416 с.
  52. Konstantinos Tsiptsis. Data Mining Techniques in CRM. – М.: , 2010. – 372 с.
  53. Howard Austerlitz. Data Acquisition Techniques Using PCs. – М.: , 2010. – 416 с.
  54. Robert A. Yaffee. An Introduction to Time Series Analysis and Forecasting. – М.: , 2010. – 528 с.
  55. Mamdouh Refaat. Data Preparation for Data Mining Using SAS. – М.: , 2010. – 424 с.
  56. John C. Brocklebank. SAS® for Forecasting Time Series. – М.: , 2006. – 424 с.
  57. Michael J. Berry. Data Mining Techniques. – М.: , 1997. – 464 с.
  58. Gordon S. Linoff. Data Mining Techniques. – М.: , 2011. – 888 с.
  59. Arthur S Banks. Cross–Polity Time–Series Data. – М.: , 2003. – 324 с.
  60. Michael J. Berry. Data Mining Techniques with Mastering Data Mining Set. – М.: , 2003. – 976 с.
  61. Michael P Clements. Forecasting Non–Stationary Economic Time Series. – М.: , 2001. – 392 с.
  62. Michael Clements. Forecasting Non–Stationary Economic Time Series. – М.: , 1999. – 390 с.
  63. Barry De Ville. Microsoft Data Mining: Integrated Business Intelligence for e-Commerce and Knowledge Management. – М.: , . –  с.
  64. Mark F. Hornick, Erik Marcade, Sunil Venkayala. Java Data Mining: Strategy, Standard, and Practice: A Practical Guide for architecture, design, and implementation. – М.: Morgan Kaufmann, 2006. – 544 с.
  65. Ian H. Witten, Eibe Frank. Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems). – М.: , 2005. – 560 с.
  66. Hitesh Chhinkaniwala and Sanjay Garg. Privacy Preserving Data Mining - Issues & Techniques. – М.: Scholars Press, 2014. – 120 с.
  67. Antti Sorjamaa. Methodologies for Time Series Prediction and Missing Value Imputation. – М.: LAP Lambert Academic Publishing, 2011. – 92 с.
  68. Alina Barbulescu,Carmen Maftei and Elena Bautu. Modeling the hydro-meteorological time series. – М.: LAP Lambert Academic Publishing, 2011. – 136 с.
  69. Olanrewaju Shittu. Analysis of Time Series Data in the Presence of Outliers. – М.: LAP Lambert Academic Publishing, 2011. – 132 с.
  70. Avantika Singh. Computational analysis of heat stress in Plants. – М.: LAP Lambert Academic Publishing, 2014. – 60 с.
  71. Farzin Salmasi,Mohammad Taghi Sattari and Mahesh Pal. Modelling energy dissipation over gabion-stepped weir by data mining. – М.: LAP Lambert Academic Publishing, 2012. – 80 с.
  72. Amit Ganatra. Information Fusion(Ensemble System)in Data Warehousing and Data Mining. – М.: LAP Lambert Academic Publishing, 2013. – 200 с.
  73. Damodar Reddy Edla and Prasanta K. Jana. Clustering Algorithms for Biological Data. – М.: LAP Lambert Academic Publishing, 2013. – 148 с.
  74. S. Durga Prasad,Balasiddamuni Pagadala and Ramesh Mummineni. Statistical Inference In Time Series Regression Models. – М.: LAP Lambert Academic Publishing, 2013. – 212 с.
  75. Jesse Mwangi. Non-Linear Time Series Models. – М.: LAP Lambert Academic Publishing, 2012. – 120 с.
  76. Sant Sharan Mishra. Computing Application of Classifiers for Marketing Data Mine. – М.: LAP Lambert Academic Publishing, 2011. – 80 с.
  77. Tigist Mideksa Damesa. A Multivariate Time Series Analysis of Agrometeorological Data. – М.: LAP Lambert Academic Publishing, 2011. – 64 с.
  78. Gerard Keogh. Univariate Time Series Modelling and Forecasting using TSMARS. – М.: LAP Lambert Academic Publishing, 2010. – 248 с.
  79. Jorge Caiado. Classification and clustering of time series. – М.: LAP Lambert Academic Publishing, 2010. – 208 с.
  80. Ravi Ramakrishnan. Robust multivariate and nonlinear time series models. – М.: LAP Lambert Academic Publishing, 2010. – 156 с.
  81. VENKATESAN .D and VIJAYAKUMAR. M. BAYESIAN INFERENCE FOR STRUCTURAL CHANGES IN TIME SERIES MODELS. – М.: LAP Lambert Academic Publishing, 2011. – 120 с.
  82. Isabel Silva. Analysis of discrete-valued time series. – М.: LAP Lambert Academic Publishing, 2012. – 288 с.
  83. Yared Assefa. Time Series and Spatial Analysis of Crop Yield. – М.: LAP Lambert Academic Publishing, 2013. – 84 с.
  84. Omead Hussain. Predicting Breast Cancer Survivability Using Data Mining Techniques. – М.: LAP Lambert Academic Publishing, 2011. – 136 с.
  85. Fuhad Ahmed and Ahmed Kabir Chowdhury. Time Series Model Building On Climate Data In Sylhet. – М.: LAP Lambert Academic Publishing, 2014. – 216 с.
  86. Riswan Efendi. The Appropriate Weight Fuzzy Time Series for the Stationary Data. – М.: LAP Lambert Academic Publishing, 2012. – 76 с.
  87. Suvarna Pawar. Use of classification algorithm under data mining for managing asthma. – М.: LAP Lambert Academic Publishing, 2013. – 148 с.
  88. Abhijit Raorane and Raja Kulkarni. Consumer Behavior Analysis using Data Mining Technique. – М.: LAP Lambert Academic Publishing, 2014. – 76 с.
  89. Ritu Vijay. Time Series Analysis using Neural Networks. – М.: LAP Lambert Academic Publishing, 2012. – 60 с.
  90. Ahmad Alhomaid and Mohammad Alhamami. Data Mining for Core Banking Systems. – М.: LAP Lambert Academic Publishing, 2012. – 128 с.
  91. Arben Hajra. Quality Assurance Web Based Application, Including Data Mining. – М.: LAP Lambert Academic Publishing, 2011. – 176 с.
  92. Shampa Bhattacharyya and Amit Bhattacharyya. Privacy Preserving Data Mining. – М.: LAP Lambert Academic Publishing, 2015. – 100 с.
  93. Gaurav Mishra and Gulshan Ahuja. Classification of data mining techniques in intrusion detection. – М.: LAP Lambert Academic Publishing, 2013. – 52 с.
  94. Alexander Zamyatin. Advanced Processing of Remote Sensing Data for Land Use and Land Cover. – М.: LAP Lambert Academic Publishing, 2010. – 232 с.
  95. Francisco Martinez Alvarez. Advanced Time Series Forecasting Using Data Mining Techniques. – М.: LAP Lambert Academic Publishing, 2010. – 164 с.
  96. Divya Jain. Data Mining Approach for Healthcare Management of NCD`S. – М.: LAP Lambert Academic Publishing, 2014. – 68 с.
  97. Dr.R Mallika. LINEAR DATA MINING MODEL WITH VERY FEW MINIMUM GENE FEATURES. – М.: LAP Lambert Academic Publishing, 2011. – 104 с.
  98. Bharat Gupta. Data Mining-Approaches to Mine Frequent Patterns. – М.: LAP Lambert Academic Publishing, 2012. – 64 с.
  99. Dalvinder Singh Dhaliwal. Data Mining. – М.: LAP Lambert Academic Publishing, 2012. – 164 с.
  100. Lokesh Kumar Sharma. Descriptive Modelling and Pattern Discovery in Spatial Data Mining. – М.: LAP Lambert Academic Publishing, 2011. – 116 с.
  101. S. Akhter Raza and S. M. Aqil Burney. Time Series Analysis of High Speed Wireless Networks. – М.: LAP Lambert Academic Publishing, 2011. – 156 с.
  102. Teklu Urgessa and Sebsibe Hialemariam. Application of Data Mining Techniques on Antiretroviral Treatment Data. – М.: LAP Lambert Academic Publishing, 2011. – 132 с.
  103. Shelly Gupta. Performance Analysis of Data Mining Classification Techniques. – М.: LAP Lambert Academic Publishing, 2012. – 76 с.
  104. Amanpreet Chauhan. Survey on data mining techniques in intrusion detection. – М.: LAP Lambert Academic Publishing, 2012. – 64 с.
  105. Mulugeta Asres. Application of Data Mining Techniques. – М.: LAP Lambert Academic Publishing, 2012. – 108 с.
  106. Negm Eldin Mohamed Shawky,El-Sayed Mostafaa Saad and Abd Elrahman Elbardawiny. Advanced data association techniques in multi-target tracking system. – М.: LAP Lambert Academic Publishing, 2012. – 212 с.
  107. Subramanian Appavu alias Balamurugan. Feature Selection for Knowledge Discovery and Data Mining. – М.: LAP Lambert Academic Publishing, 2012. – 60 с.
  108. Ratnadip Adhikari and R. K. Agrawal. An Introductory Study on Time Series Modeling and Forecasting. – М.: LAP Lambert Academic Publishing, 2013. – 76 с.
  109. Khamael Abbas Al-Dulaimi. Fingerprint Recognition System Using Image Processing Technique. – М.: LAP Lambert Academic Publishing, 2013. – 88 с.
  110. Jitendra Agrawal,Shikha Agrawal and Ankita singhai. A Novel PSO based Approach for Mining Association Rules. – М.: LAP Lambert Academic Publishing, 2013. – 76 с.
  111. Fadel O. Shaban. Spyware Detection. – М.: LAP Lambert Academic Publishing, 2013. – 92 с.
  112. Ashish Seth and Kirti Seth. Data Mining in Decision Making (A Multi Rule Algorithm). – М.: LAP Lambert Academic Publishing, 2012. – 108 с.
  113. Avala Ramesh. Study On Crop Research In India. – М.: LAP Lambert Academic Publishing, 2014. – 56 с.
  114. Ramyachitra Duraisamy and Manikandan Pandurangan. Data Mining Techniques for Protein Sequence Analysis. – М.: LAP Lambert Academic Publishing, 2014. – 88 с.
  115. Sridhar Mandapati. Privacy Preserving Data Mining using Optimization Methods. – М.: LAP Lambert Academic Publishing, 2014. – 128 с.
  116. Serkan Gunes. Investment and Financial Forecasting. – М.: LAP Lambert Academic Publishing, 2010. – 60 с.
  117. Muhammad Anwar-ul-Haq. Aerial Threat Perception Using Data Mining. – М.: LAP Lambert Academic Publishing, 2011. – 72 с.
  118. Ammisetty Veeraswamy. Introduction to Data Mining & Data Warehousing. – М.: LAP Lambert Academic Publishing, 2014. – 192 с.
  119. Elias Lemuye. HIV Status Predictive Modeling Using Data Mining Technology. – М.: LAP Lambert Academic Publishing, 2012. – 184 с.
  120. Gidey Hailu Tesfay,Girma Tadesse and Semaw Ferede. Predictive Modeling for HIV Testing Using Data Mining techniques. – М.: LAP Lambert Academic Publishing, 2014. – 100 с.
  121. Hanumanthappa M. Data Mining Applications. – М.: LAP Lambert Academic Publishing, 2013. – 192 с.
  122. Muhammad Usman. Integrated Online Analytical Mining (OLAM). – М.: LAP Lambert Academic Publishing, 2012. – 120 с.
  123. Roy de Groot. Data Mining for Tweet Sentiment Classification. – М.: LAP Lambert Academic Publishing, 2012. – 108 с.
  124. Kinfe Wubetu. Application of Data Mining to Identify Patterns in VCT Dataset. – М.: LAP Lambert Academic Publishing, 2013. – 60 с.
  125. Zenebe Markos. Predicting Nutritional Status of Under 5 Children Using Data Mining. – М.: LAP Lambert Academic Publishing, 2014. – 124 с.
  126. Ismael Marin Carrion. High Performance Computing Applied to Nonlinear Time Series Analysis. – М.: LAP Lambert Academic Publishing, 2010. – 184 с.
  127. K. C. Srikantaiah and K. R. Venugopal. Web Mining Algorithms. – М.: LAP Lambert Academic Publishing, 2014. – 204 с.
  128. Maher Aburrous,Alamgir Hossain and Keshav Dahal. Phishing Website Detection using Intelligent Data Mining Techniques. – М.: LAP Lambert Academic Publishing, 2012. – 192 с.
  129. Simon DABLEMONT. Forecasting of High Frequency Financial Time Series. – М.: LAP Lambert Academic Publishing, 2010. – 384 с.
  130. Jesper Boer. Modeling Volatility in Financial Time Series. – М.: LAP Lambert Academic Publishing, 2010. – 88 с.
  131. Khalid Zaman and Mehboob Ahmad. Time Series Econometrics: A Practical Approach to EViews Screen-Shots. – М.: LAP Lambert Academic Publishing, 2010. – 160 с.
  132. Suresh Veluru and Viswanath Pulabaigari. Scalable Non-Parametric Pattern Recognition Techniques for Data Mining. – М.: LAP Lambert Academic Publishing, 2011. – 116 с.
  133. Zelalem Abahana,Matthew Diersen and Jing Li. Statistical Time Series Analysis on Basis and Volume Contracted. – М.: LAP Lambert Academic Publishing, 2012. – 84 с.
  134. Dominique Habimana. Time Series Econometrics Analysis. – М.: LAP Lambert Academic Publishing, 2010. – 60 с.
  135. Ahammad Hossain,Ayub Ali and Md. Kamruzzaman. Volatility Analysis and Forecasting Volume Data of DSE. – М.: LAP Lambert Academic Publishing, 2015. – 176 с.
  136. PERAL TOKTAS-PALUT. PREDICTING BANK FAILURES. – М.: LAP Lambert Academic Publishing, 2010. – 252 с.
  137. Valerio Veglio. Forecasting Marketing Performance via Web Data Mining. – М.: LAP Lambert Academic Publishing, 2013. – 124 с.
  138. Neville C. Pradeep. Data Mining in Management and Practice. – М.: LAP Lambert Academic Publishing, 2012. – 412 с.
  139. Sagarkumar Badhiye,Prashant Chatur and Bhushan Wakode. Temperature & Humidity Prediction Using Data Mining. – М.: LAP Lambert Academic Publishing, 2013. – 76 с.
  140. Kanwal Garg. Data Mining in Life Insurance Sector of India: A Model Based Approach. – М.: LAP Lambert Academic Publishing, 2012. – 232 с.

Лучшие результаты

Ничего не найдено

Дополнительные результаты

  1. Применение интеллектуального анализа данных. data mining в управлении страховой компанией. Ю.В. Грызенкова, З.Ф. Шарифьянова, "Управление в страховой компании", № 4, октябрь-декабрь 2007.

Образцы работ

Тема и предметТип и объем работы
Новое в русской лексике
Лексикология
Курсовая работа
30 стр.
Процессуальные особенности рассмотрения дел судами о компенсации морального вреда
Гражданский процесс
Диплом
70 стр.
Математические модели океанических течений
Переводоведение (теория перевода)
Курсовая работа
42 стр.
Продвижение брендов в шоу-бизнесе
Электроснабжение городов и промышленных предприятий
Диплом
79 стр.

Задайте свой вопрос по вашей теме

Гладышева Марина Михайловна

marina@studentochka.ru
+7 911 822-56-12
с 9 до 21 ч. по Москве.






Добавить файл

- осталось написать email или телефон

Контакты
marina@studentochka.ru
+7 911 822-56-12
с 9 до 21 ч. по Москве.
Поделиться
Мы в социальных сетях
Реклама



Отзывы
Светлана
ок, спасибо большое :) было очень приятно с Вами работать :) Всего Вам доброого :)