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PREFETCHING AND/OR COMPUTING RESOURCE ALLOCATION BASED ON PREDICTING CLASSIFICATION LABELS WITH TEMPORAL DATA
PREFETCHING AND/OR COMPUTING RESOURCE ALLOCATION BASED ON PREDICTING CLASSIFICATION LABELS WITH TEMPORAL DATA
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机译:基于预测与时间数据的分类标签的预取和/或计算资源分配
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摘要
Methods, systems and computer program products are provided for prefetching information and/or (pre)allocating computing resources based on predicting classification labels with temporal data. A trained temporal classification model forecasts events (e.g., too numerous for individual modeling) by predicting classification labels indicating whether events will occur, or a number of occurrences of the events, during each of a plurality of future time intervals. Time-series datasets, indicating whether events occurred, or a number of occurrences of the events, during each of a plurality of past time intervals, are transformed into temporal classification datasets. Classifications may be based, at least in part, on extracted features, such as data seasonality, temporal representation, statistical and/or real-time features. Classification labels are used to determine whether to take one or more actions, such as, for example, prefetching information or (pre)allocating a computing resource.
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