A distributed Fog node assessment model by using Fuzzy rules learned by XGBoost

A distributed Fog node assessment model by using Fuzzy rules learned by XGBoost

Citation Author(s):
Amin
Shahraki
Hiof
Marius
Geitle
Hiof
Submitted by:
amin shahraki
Last updated:
Sun, 03/03/2019 - 06:46
DOI:
10.21227/166d-2s81
Data Format:
License:
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Abstract: 

The dataset is used in the paper entitled "A distributed Fog node assessment model by using Fuzzy rules learned by XGBoost" as fuzzy rules extracted by XGboost

Instructions: 

Use CSV format. last column of each row is the output of fuzzy inference system

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[1] Amin Shahraki, Marius Geitle, "A distributed Fog node assessment model by using Fuzzy rules learned by XGBoost", IEEE Dataport, 2019. [Online]. Available: http://dx.doi.org/10.21227/166d-2s81. Accessed: Jun. 19, 2019.
@data{166d-2s81-19,
doi = {10.21227/166d-2s81},
url = {http://dx.doi.org/10.21227/166d-2s81},
author = {Amin Shahraki; Marius Geitle },
publisher = {IEEE Dataport},
title = {A distributed Fog node assessment model by using Fuzzy rules learned by XGBoost},
year = {2019} }
TY - DATA
T1 - A distributed Fog node assessment model by using Fuzzy rules learned by XGBoost
AU - Amin Shahraki; Marius Geitle
PY - 2019
PB - IEEE Dataport
UR - 10.21227/166d-2s81
ER -
Amin Shahraki, Marius Geitle. (2019). A distributed Fog node assessment model by using Fuzzy rules learned by XGBoost. IEEE Dataport. http://dx.doi.org/10.21227/166d-2s81
Amin Shahraki, Marius Geitle, 2019. A distributed Fog node assessment model by using Fuzzy rules learned by XGBoost. Available at: http://dx.doi.org/10.21227/166d-2s81.
Amin Shahraki, Marius Geitle. (2019). "A distributed Fog node assessment model by using Fuzzy rules learned by XGBoost." Web.
1. Amin Shahraki, Marius Geitle. A distributed Fog node assessment model by using Fuzzy rules learned by XGBoost [Internet]. IEEE Dataport; 2019. Available from : http://dx.doi.org/10.21227/166d-2s81
Amin Shahraki, Marius Geitle. "A distributed Fog node assessment model by using Fuzzy rules learned by XGBoost." doi: 10.21227/166d-2s81