A Novel Fusion and Feature Selection Framework for Multisource Time-Series Data Based on Information Entropy
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Information technology growth brings vast time-series data. Despite richness, challenges like redundancy emphasize the need for time-series data fusion research. Rough set theory, a valuable tool for dealing with uncertainty, can identify features and reduce d... ...
