Abstract
In this chapter, we stress the contributions and importance of this book from both scientific and philosophical perspectives. In particular, we describe the theoretical significance, practical importance and methodological impacts of our work presented in this book. We also show how the proposal of granular computing based machine learning is inspired philosophically from real-life examples. Moreover, we suggest some further directions to extend the current research towards advancing machine learning in the future.
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Liu, H., Cocea, M. (2018). Conclusion. In: Granular Computing Based Machine Learning. Studies in Big Data, vol 35. Springer, Cham. https://doi.org/10.1007/978-3-319-70058-8_9
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DOI: https://doi.org/10.1007/978-3-319-70058-8_9
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