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A Healthcare Application Model for Smarthome Using Frequent Pattern Based KNN Algorithm

  • Amrutha RaveendranEmail author
  • U. Barakkath Nisha
Conference paper
  • 219 Downloads
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 44)

Abstract

Nowadays most of the people are moving from rural to urban areas and they would rather prefer the advanced healthcare applications in their daily life. So in this century, the studies behind this idea are growing fast. In urban areas most of the homes are being equipped with smart devices and therefore the scope of the healthcare applications in this area can be done without any awkwardness. In this paper, the data collected from the smart devices can be used as the source data for this purpose. The human activities are monitored by the proposed system. From this huge data the patterns are being recognized by the use of Frequent Pattern mining and the appliance to appliance and appliance to time associations are built using incremental k-means clustering algorithm. The activity prediction will be done by frequent pattern based KNN algorithm. This system can predict the human activity pattern along with greater accuracy for the purpose of healthcare applications.

Keywords

Frequent pattern mining Incremental K-means clustering Frequent pattern based KNN algorithm 

Notes

Acknowledgemnet

All Author states that there is no conflcit of interest. We used UK dale dataset (https://jack-kelly.com/data/) in this study.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of CSE, ICETKTU UniversityKeralaIndia

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