A Healthcare Application Model for Smarthome Using Frequent Pattern Based KNN Algorithm
| Autor: | U. Barakkath Nisha, Amrutha Raveendran |
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| Rok vydání: | 2020 |
| Předmět: |
Source data
020205 medical informatics Scope (project management) Computer science business.industry 02 engineering and technology computer.software_genre k-nearest neighbors algorithm 020204 information systems Health care 0202 electrical engineering electronic engineering information engineering Data mining business Cluster analysis computer |
| Zdroj: | Second International Conference on Computer Networks and Communication Technologies ISBN: 9783030370503 |
| DOI: | 10.1007/978-3-030-37051-0_5 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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