• Status: Solved
  • Priority: Medium
  • Security: Public
  • Views: 437
  • Last Modified:

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).
1 Solution
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.


Question has a verified solution.

Are you are experiencing a similar issue? Get a personalized answer when you ask a related question.

Have a better answer? Share it in a comment.

Join & Write a Comment

Featured Post

Train for your Pen Testing Engineer Certification

Enroll today in this bundle of courses to gain experience in the logistics of pen testing, Linux fundamentals, vulnerability assessments, detecting live systems, and more! This series, valued at $3,000, is free for Premium members, Team Accounts, and Qualified Experts.

Tackle projects and never again get stuck behind a technical roadblock.
Join Now