Smart Home System Using Sequential Pattern Mining

Yıl 2018, Sayı: 4, 187 - 195, 04.12.2018

Gokhan Kaya Burcu Becergen Yetkın M. Ali Akcayol

Öz

Smart home systems are one of today's active
working issues because of the increase comfort, raised living standards,
security, health, economic benefits. Smart home systems should interact with
the activities of people living in a house and be remotely accessible,
monitorable and controllable. A smart home system with the mentioned features
has been developed in this study. The system collects data from the behaviors
and interactions of the people in the house. It evaluates the collected data
adaptively and outputs the results. It produces control signals by using the
results. In addition, a simulation was developed to collect data from devices
such as an IoT device. The resulting data is examined using rule subtraction
from sequential patterns, a data mining method. In this way, the habits of the
users in a house are added to the system as a scenario. By using scenarios and
rules, the interaction with the user of the system is increased by predicting
what the user can do next. The results show energy saving and comfort increase
with the developed system.

Anahtar Kelimeler

Smart home systems, Adaptive systems, Sequential pattern mining, Topological graph

Kaynakça

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