Behavioral attribute analysis method and device
作者： Toshiko Aizono , Kei Suzuki
DOI:
关键词: Viewpoints 、 Value (mathematics) 、 Artificial intelligence 、 Time frame 、 Analysis method 、 Behavioral pattern 、 Set (psychology) 、 Computer science 、 Pattern recognition 、 Data mining 、 Basis (linear algebra) 、 Cluster analysis
摘要: Provided is a technology for extracting the behavioral pattern of user from set history data in which behavior people stored, and efficiently exhaustively analyzing, various viewpoints such as location time, trends characteristics by using said pattern. This attribute analysis device expresses scene vector assembly listed value each time frame, extracts lifestyle contained entire clustering vectors, classifies person on basis to belongs (refer figure 1).
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