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영어

In an environment in which several events are sensed in a complex manner and sequentially obtained, a clue can be obtained for inference of situations by classifying each event and analyzing the aspect of change of each event. The study proposes a method to efficiently decide the cluster centers in each subsequent time slot for efficient classification of events and inference of situations in a data stream environment. For the data stream under this condition, each time slot classified at a certain interval is set up, the events using clustering in each time slot are carried out, and to recognize how the aspect of change of each event sensed in a continuous time slot is carried out, the cluster centers are allowed to be rapidly captured.