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Development of an inertial data classification system
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- 2018 год
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The problem of data classification is one of the most widely studied in the environment of the communities involved in data mining and machine learning. This problem has been studied by researchers in various fields for several decades. Classification applications include a wide range of problem areas - working with text, multimedia, social networks, various biometric data sets, etc.
Data classification, supervised learning.
The problem of data classification is one of the most widely studied in in the data mining and machine learning communities. The classification of applications includes a wide range of problem areas – text, multimedia data, social networks, various sets of biometric data, etc.
1. C.C. Aggarwal. Data Classification: Algorithms and Applications. Chapman and Hall/CRC, 2014.
2. R. Duda, P. Hart, D. Stork. Pattern Classification. Wiley, 2001.
3. T. Hastie, R. Tibshirani, J. Friedman. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer, 2013.
4. T. Mitchell. Machine Learning. McGraw Hill, 1997.
5. V. Vapnik. The Nature of Statistical Learning Theory. Springer, 1995.
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