Data synchronization in a network of coupled phase oscillators.
We devised a new method of data mining for a large-scale database. In the method, a network of locally coupled phase oscillators subject to Kuramoto's model substitutes for given multivariate data to generate major features through phase locking of the oscillators, i.e., phase transition of the data set. We applied the method to the national database of care needs certification for the Japanese public long-term care insurance program, and found three major patterns in the aging process of the frail elderly. This work revealed the latent utility of Kuramoto's model for data processing.
Miyano
Takaya
T
Department of Micro System Technology, Ritsumeikan University 1-1-1, Noji-higashi, Kusatsu, Shiga 525-8577, Japan. tmiyano@se.ritsumei.ac.jp
Tsutsui
Takako
T
D000368:Aged; D000369:Aged, 80 and over; D016330:Frail Elderly; D006304:Health Status; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D007353:Insurance, Long-Term Care; D007564:Japan; D008962:Models, Theoretical; D011788:Quality of Life