machine learning pattern recognition

How to derive a pattern of open,closed door spectra using machine learning? What algorithm would do the job? For instance, if the status spectrum refers to the front door and recorded data show that the first day it is opened for 1 minute at 9am, at 12 noon and at 6 pm, and that the second day it is opened for 1.5 mins at 9.30, 12.30, and 6.30, and the third day... similarly, then the machine leraning program should be able to derive a pattern where

the front door is opened for less than, say, two minutes every day between 9 and 10, between 12 and 1 pm, and between 6 and 7 pm (or something similar).