Increasing Interoperability by Using Distributed Computation, Machine Learning, and the IoT Ecosystem

Author:

Tishin Mikhail,Mavromoustakis Constandinos X.,Bourdena Athina,Markakis Evangelos K.,Mastorakis George,Pallis Evangelos

Publisher

Springer Nature Switzerland

Reference31 articles.

1. van Steen, M., & Tanenbaum, A. S. (2017). Distributed Systems (3rd ed.). Pearson Educación.

2. Coulouris, G. F. (2012). Distributed systems: Concepts and design (5th ed.). Addison-Wesley.

3. Kshemkalyani, A. D., & Singhal, M. (2011). Distributed computing: Principles, algorithms, and systems. Cambridge University Press.

4. Prasath, V. B. S., et al. (2017). Distance and similarity measures effect on the performance of K-nearest neighbor classifier – A review. Big Data, no page.

5. Hastie, T., Friedman, J., & Tisbshirani, R. (2017). The elements of statistical Learning: Data mining, inference, and prediction (2nd ed.). Springer.

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