Conclusion

Han Liu; Mihaela Cocea

doi:10.1007/978-3-319-70058-8_9

Conclusion

Han Liu^*, Mihaela Cocea

^*Corresponding author for this work

School of Computing

Cardiff University

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

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.

Original language	English
Title of host publication	Granular Computing Based Machine Learning
Subtitle of host publication	A Big Data Processing Approach
Editors	Han Liu, Mihaela Cocea
Publisher	Springer Nature
Pages	89-99
Number of pages	11
ISBN (Electronic)	9783319700588
ISBN (Print)	9783319700571, 9783319888842
DOIs	https://doi.org/10.1007/978-3-319-70058-8_9
Publication status	Published - 23 Nov 2017

Publication series

Name	Studies in Big Data
Volume	35
ISSN (Print)	2197-6503
ISSN (Electronic)	2197-6511

Access to Document

10.1007/978-3-319-70058-8_9

Cite this

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