Geodesic
Physiological data mining system for elite sports
Vestnik Ûžno-Uralʹskogo gosudarstvennogo universiteta. Seriâ Vyčislitelʹnaâ matematika i informatika, Tome 2 (2013) no. 1, pp. 44-54 Cet article a éte moissonné depuis la source Math-Net.Ru

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The paper presents the architecture of MedMining system, which is designed for mining physiological studies of sportsmen. The system provides export of measurements to data warehouse. Storing of raw measurements (coming directly from the devices) and their processed analogues (obtained by averaging, approximation or other integrating operations on the processed data) is supported. Mining of measurements aims to discovering of key performance indicators and performance training techniques, as well as to searching trends and anomalies in these indicators for a flexible changes of training schedule.
Keywords: data mining, data warehouse, physiological research, elite sports. 
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     title = {Physiological data mining system for elite sports},
     journal = {Vestnik \^U\v{z}no-Uralʹskogo gosudarstvennogo universiteta. Seri\^a Vy\v{c}islitelʹna\^a matematika i informatika},
     pages = {44--54},
     year = {2013},
     volume = {2},
     number = {1},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VYURV_2013_2_1_a4/}
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V. V. Epishev; A. P. Isaev; R. M. Miniakhmetov; A. V. Movchan; A. S. Smirnov; L. B. Sokolinsky; M. L. Zymbler; V. V. Ehrlich. Physiological data mining system for elite sports. Vestnik Ûžno-Uralʹskogo gosudarstvennogo universiteta. Seriâ Vyčislitelʹnaâ matematika i informatika, Tome 2 (2013) no. 1, pp. 44-54. http://geodesic.mathdoc.fr/item/VYURV_2013_2_1_a4/

[1] V. A. Djuk, O. V. Zhvalevskij, S. B. Rudnickij, D. A. Tolstonogov, “Preliminary Results of the Processing of Different Types of Biometric Data by Means of Data Mining Methods”, SPIIRAN Proceedings, 2009, no. 9, 197–210

[2] J. Han, M. Kamber, “Data Mining: Concepts and Techniques”, Proceedings of 21st International Conference on Very Large Data Bases, Morgan Kaufmann, 2006, 743 pp.

[3] I. Yoo, P. Alafaireet, M. Marinov, K. Pena-Hernandez, R. Gopidi, J.-F. Chang, L. Hua, “Data Mining in Healthcare and Biomedicine: A Survey of the Literature”, Journal of Medical Systems, 36:4 (2012), 2431–2448

[4] B. P. L. Lo, A. Atallah, B. Crewther, et al., “Pervasive sensing for athletic training”, Delivering London 2012: ICT Enabling the Games, The IET special interest publication., 2011, 53–62

[5] A. A. Moskovskij, M. P. Perminov, L. B. Sokolinskij, V. V. Cherepennikov, A. V. Shamakina, “Perfomance Analysis of the Supercomputer Family «SKIF Avrora» on Industrial Tasks”, Bulletin of South Ural State University. Series Mathematical Modeling, Programming Computer Software, 35(211) (2010), 66–78

[6] M. Stonebraker, G. Kemnitz, “The POSTGRES next-generation database management system”, Communications of the ACM, 34:10 (1991), 78–92

[7] Celery: Distributed Task Queue, Celery Project } {\tt : http://celeryproject.org

[8] A. Ortiz, “Web Development with Python and Django”, Communications of the ACM, 34:10 (2012), 686–686

[9] C. S Pan, M. L. Zymbler, “Development of a Parallel Database Management System on the Basis of Open-Source PostgreSQL DBMS”, Bulletin of South Ural State University. Series Mathematical Modeling, Programming Computer Software, 18(277):12 (2012), 112–120

[10] A. P. Isaev, V. V. Ehrlich, “Functional State of Athletes’ Cardiorespiratory System in Two First Days of Deacclimatization after Twenty Days in Higher Uplands”, Bulletin of South Ural State University. Series Education, Healthcare, Physical Culture, 8(267) (2012), 34–37

[11] A. P. Isaev, V. V. Rybakov, V. V. Ehrlich et al., “Strategy for the Formation of Adaptive Reactions of Athletes. Adaptation Theory Basics and Its Formation in the Elite Sport”, Bulletin of South Ural State University. Series Education, Healthcare, Physical Culture, 21(280) (2012), 46–56

[12] V. V. Ehrlich, A. P. Isaev, V. V. Epishev, Ju. B. Husainova, “Key Morphometric, and Cardiopulmonary Spirographic Portrait Characteristics for Leading Athletes in Age 15-16 at Rest and Evaluation of Physical Performance During Participation in Socially Important Events”, Bulletin of South Ural State University. Series Education, Healthcare, Physical Culture, 39(256) (2011), 19–21

[13] L. B. Sokolinsky, “Survey of Architectures of Parallel Database Systems”, Programming and Computer Software, 30:6 (2004), 337–346

[14] P. S. Kostenetskii, A. V. Lepikhov, L. B. Sokolinskii, “Technologies of parallel database systems for hierarchical multiprocessor environments”, Automation and Remote Control, 68:5 (2007), 847–859

[15] R. M. Miniakhmetov, “Integrating Fuzzy c-Means Clustering with PostgreSQL”, Proceedings of ISP RAS, 21 (2011), 263–276