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First Case Study: Predicting Muscle Fatigue from EMG Signals

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Data Mining and Knowledge Discovery via Logic-Based Methods

Part of the book series: Springer Optimization and Its Applications ((SOIA,volume 43))

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Abstract

Most of the previous chapters discussed some application issues on a number of areas. This chapter discusses a case study in detail. The emphasis is on some comparative issues with other data mining techniques that do not use logic-based approaches. This chapter also provides a link to the data used in this study.

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Correspondence to Evangelos Triantaphyllou .

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Triantaphyllou, E. (2010). First Case Study: Predicting Muscle Fatigue from EMG Signals. In: Data Mining and Knowledge Discovery via Logic-Based Methods. Springer Optimization and Its Applications, vol 43. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-1630-3_14

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