TY - GEN
T1 - Solar Flare Prediction Using Two-tier Ensemble with Deep Learning and Gradient Boosting Machine
AU - Pham, Chau
AU - Pham, Vung
AU - Dang, Tommy
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - This paper describes a machine learning approach to the solar flare prediction competition, a track in IEEE Big Data 2019 Big Data Cup. The competition task is to predict whether or not there is a solar flare event basing on a given time series of solar magnetic field parameters. Our method involves exploring and constructing data-driven machine learning models for the classification task of two imbalanced class labels from time series. Specifically, the investigated models include boosting, logistic regression, multilayer perceptron neural network, and long short-term memory neural network. These models have been successfully deployed and combined in an ensemble framework with two tiers in our final proposed solution for this competition. Our proposed approach ranked at the second place in the competition (the first on the private board and the eleventh on the public board).
AB - This paper describes a machine learning approach to the solar flare prediction competition, a track in IEEE Big Data 2019 Big Data Cup. The competition task is to predict whether or not there is a solar flare event basing on a given time series of solar magnetic field parameters. Our method involves exploring and constructing data-driven machine learning models for the classification task of two imbalanced class labels from time series. Specifically, the investigated models include boosting, logistic regression, multilayer perceptron neural network, and long short-term memory neural network. These models have been successfully deployed and combined in an ensemble framework with two tiers in our final proposed solution for this competition. Our proposed approach ranked at the second place in the competition (the first on the private board and the eleventh on the public board).
KW - Ensemble framework
KW - Gradient boosting decision tree
KW - Logistic regression
KW - Long Short-term memory neural network
KW - Multilayer perceptron neural network
KW - Multivariate time series
KW - Solar flare prediction
UR - http://www.scopus.com/inward/record.url?scp=85081374683&partnerID=8YFLogxK
U2 - 10.1109/BigData47090.2019.9006542
DO - 10.1109/BigData47090.2019.9006542
M3 - Conference contribution
AN - SCOPUS:85081374683
T3 - Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019
SP - 5844
EP - 5853
BT - Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019
A2 - Baru, Chaitanya
A2 - Huan, Jun
A2 - Khan, Latifur
A2 - Hu, Xiaohua Tony
A2 - Ak, Ronay
A2 - Tian, Yuanyuan
A2 - Barga, Roger
A2 - Zaniolo, Carlo
A2 - Lee, Kisung
A2 - Ye, Yanfang Fanny
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Conference on Big Data, Big Data 2019
Y2 - 9 December 2019 through 12 December 2019
ER -