Mining Fuzzy Time Interval Periodic Patterns In Smart Home Data - Info and Reading Options
By International Journal of Electrical and Computer Engineering (IJECE)
“Mining Fuzzy Time Interval Periodic Patterns In Smart Home Data” Metadata:
- Title: ➤ Mining Fuzzy Time Interval Periodic Patterns In Smart Home Data
- Author: ➤ International Journal of Electrical and Computer Engineering (IJECE)
“Mining Fuzzy Time Interval Periodic Patterns In Smart Home Data” Subjects and Themes:
- Subjects: Data mining - Fuzzy time-interval - Periodic pattern - Sequence pattern - Smart home
Edition Identifiers:
- Internet Archive ID: 10.11591ijece.v8i5.pp3374-3385
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The Internet Archive:
A convergence of technologies in data mining, machine learning, and a persuasive computer has led to an interest in the development of smart environment to help human with functions, such as monitoring and remote health interventions, activity recognition, energy saving. The need for technology development was confirmed again by the aging population and the importance of individual independent in their own homes. Pattern mining on sensor data from smart home is widely applied in research such as using data mining. In this paper, we proposed a periodic pattern mining in smart house data that is integrated between the FP-Growth PrefixSpan algorithm and a fuzzy approach, which is called as fuzzy-time interval periodic patterns mining. Our purpose is to obtain the periodic pattern of activity at various time intervals. The simulation results show that the resident activities can be recognized by analyzing the triggered sensor patterns, and the impacts of minimum support values to the number of fuzzy-time-interval periodic patterns generated. Moreover, fuzzy-time-interval periodic patterns that are generated encourages to find daily or anomalies resident’s habits.
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"Mining Fuzzy Time Interval Periodic Patterns In Smart Home Data" is available for download from The Internet Archive in "texts" format, the size of the file-s is: 9.38 Mbs, and the file-s went public at Tue Aug 16 2022.
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