Abstract
In this chapter, we are introducing the key methods of data analytics and describe the underlying principles, assumptions, and the thought process behind applying these methods in LTE performance and fault analysis.
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Gunther NJ (2007) Guerrilla capacity planning: a tactical approach to planning for highly scalable applications and services. Springer, New York, Secaucus, NJ, USA © 2006. ISBN 3540261389
Choudhury J (2014) Parameter Estimation of asymptotically improved super-serial scalability law. In: Performance and capacity international conference by computer measurement group (CMG’14) (PDF)
Makridakis S, Wheelright SC, Hyndman RJ (1998) Forecasting: methods and applications, 3rd edn. Wiley. ISBN 978-0-471-53233-0
Milton S, Arnold J (2002) Introduction to probability and statistics: principles and applications for engineering and the computing sciences, 4th edn. McGraw-Hill. ISBN-13 978-0072468366
Gilgur A, Perka M Computer Storage capacity forecasting system using cluster-based seasonality analysis. US Patent 7783510
Gilgur A, Perka M (2010) Forecast model quality index for computer storage capacity planning. US Patent 7788127. Filed 06/25/2007. Awarded 08/24/2010
Koenker R, Hallock KF (2001) Quantile regression. J Econ Perspect 15(4):143–156
Fraley C, Raftery AE (2002) Model-based clustering, discriminant analysis and density estimation. J Am Stat Assoc 97:611–631
Fraley C, Raftery AE, Brendan Murphy T, Scrucca L (2012) mclust Version 4 for R: normal mixture modeling for model-based clustering, classification, and density estimation, technical report no. 597, Department of Statistics, University of Washington
Ferrandiz J, Gilgur A (2014) Capacity planning for QoS - the journal of capacity management. A publication of the computer measurement group. Issue 135, Winter, 2014
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Kakadia, D., Yang, J., Gilgur, A. (2017). Analytics Fundamentals. In: Network Performance and Fault Analytics for LTE Wireless Service Providers. Springer, New Delhi. https://doi.org/10.1007/978-81-322-3721-1_2
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DOI: https://doi.org/10.1007/978-81-322-3721-1_2
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