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Discovery of Behavior Sequence Pattern using Mining in Smart Home

스마트 홈에서 마이닝을 이용한 행동 순차 패턴 발견

  • 정경용 (상지대학교 컴퓨터정보공학부) ;
  • 김종훈 (인하대학교 컴퓨터정보공학부) ;
  • 강운구 (가천의과학대학교 의료공학부) ;
  • 임기욱 (선문대학교 컴퓨터정보학부) ;
  • 이정현 (인하대학교 컴퓨터정보공학부)
  • Published : 2008.09.28

Abstract

With the development of ubiquitous computing and the construction of infrastructure for one-to-one personalized services, the importance of context-aware services based on user's situation and environment is being spotlighted. The smart home technology connects real space and virtual space, and converts situations in reality into information in a virtual space, and provides user-oriented intelligent services using this information. In this paper, we proposed the discovery of the behavior sequence pattern using the mining in the smart home. We discovered the behavior sequence pattern by using mining to add time variation to the association rule between locations that occur in location transactions. We can predict the path or behavior of user according to the recognized time sequence and provide services accordingly. To evaluate the performance of behavior consequence pattern using mining, we conducted sample t-tests so as to verify usefulness. This evaluation found that the difference of satisfaction by service was statistically meaningful, and showed high satisfaction.

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  2. Mining Based Time-Series Sleeping Pattern Analysis for Life Big-Data pp.1572-834X, 2018, https://doi.org/10.1007/s11277-018-5983-z