Abstract
This chapter provides a third (and final) example of how analytical techniques can help enhance the results of data mining.
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References
Acosta, G., Freudenthal, E., Smith, E., Kreinovich, V.: Why filtering out higher harmonics makes it easier to carry a tune. Appl. Math. Sci. 13(16), 775–779 (2019)
Freudenthal, E., Usevitch, B., Hanson, E.: Apparatus and Method to Facilitate Singing Intended Notes. US Patent (2017)
Laxpati, S.R., Goncharoff, V.: Practical Signal Processing and Its Applications. World Scientific, Singapore (2018)
Lyons, R.G.: Understanding Digital Signal Processing. Prentice Hall, Upper Saddle River (2011)
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Acosta, G., Smith, E., Kreinovich, V. (2020). Analytical Techniques Help Enhance the Results of Data Mining: Why Filtering Out Higher Harmonics Makes It Easier to Carry a Tune. In: Towards Analytical Techniques for Systems Engineering Applications. Studies in Systems, Decision and Control, vol 286. Springer, Cham. https://doi.org/10.1007/978-3-030-46413-4_9
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DOI: https://doi.org/10.1007/978-3-030-46413-4_9
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