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).
chudyksgAsked:
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mrcoffee365Connect With a Mentor Commented:
EE is probably not going to help you with this kind of problem.  I suggest you use the weka forum, or if you don't get a response there, try other rule software sites, like Protege.  Weka would be best -- they are in active use by several universities, and they have a mailing list.  Sign up and ask your questions there.

Weka:
http://www.cs.waikato.ac.nz/ml/weka/

Protege:
http://protegewiki.stanford.edu/wiki/Main_Page
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