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Adjusting Learning Depth in Nonnegative Latent Factorization of Tensors for Accurately Modeling Temporal Patterns in Dynamic QoS Data.
Xin Luo
Minzhi Chen
Hao Wu
Zhigang Liu
Huaqiang Yuan
MengChu Zhou
Published in:
IEEE Trans Autom. Sci. Eng. (2021)
Keyphrases
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temporal patterns
data sets
prior knowledge
data analysis
time stamped
temporal data
data sources
reinforcement learning
high dimensional
knowledge discovery
knowledge acquisition
temporal information
end users
multi dimensional
information retrieval
data mining
real world