-Guard: A Cross-Correlation Gaining Framework for Urban Air Quality Prediction.

Yu Chu Lin Li Qing Xie Guandong Xu

Published in: PAKDD (1) (2021)

Keyphrases

cross correlation
quality prediction
machine learning
information retrieval
mutual information
frequency domain
theoretical framework
database
neural network
feature selection
probabilistic model
lightweight
template matching