Computer Information Systems and Industrial Management: 14th by Khalid Saeed, Wladyslaw Homenda

By Khalid Saeed, Wladyslaw Homenda

This publication constitutes the court cases of the 14th IFIP TC eight overseas convention on laptop info platforms and commercial administration, CISIM 2015, held in Warsaw, Poland, in September 2015.
The forty seven papers awarded during this quantity have been rigorously reviewed and chosen from approximately eighty submissions. the most subject matters lined are biometrics, safety structures, multimedia, category and clustering with functions, and commercial management.

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Journal of Physics: Conference Series 305 (1), art. no. 012031 (2011) 3. : Data dimension reduction and visualization with application to multidimensional gearbox diagnostics data: Comparison of several methods. B: Solid State Phenomena 180, 177–184 (2012) 4. : Neural Networks for Pattern Recognition. Oxford University Press (1995) 5. : Customized lifting multiwavelet packet information entropy for equipment condition identification. Smart Mater. Struct. 22, 095022 (14pp). IOPPublishing (2013) 6.

Principles of secure information flow analysis. , et al. ) Malware Detection. Advances in Information Security, vol. 27, pp. 291–307. Springer (2007) 22. : F4f: taint analysis of framework-based web applications. In: OOPSLA. ACM (2011) 23. : Hybrid security analysis of web javascript code via dynamic partial evaluation. In: Proc. of the 2014 Int. Symposium on Software Testing and Analysis, ISSTA 2014, pp. 49–59. ACM, New York (2014) 24. : Taj: effective taint analysis of web applications. In: ACM PLDI, pp.

The B500 set is supposed to be the learning sample and the Bres set the test sample for the constructed probabilistic model. Our first goal is to obtain for the data set B500 a decomposition into two Gaussian sub-samples numerated as j = 1 and j = 2. A second goal is to assert the connection of the derived sub-samples with the load variable ZWE. A third goal is to obtain an affirmation that the obtained decomposition (un-mixing of the data set B500 into two component sets from which it is composed) fits adequately to the gathered data.

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