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Conference Paper
Smart Home Web of Objects-Based IoT Management Model and Methods for Home Data Mining
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- Authors
- Jeu Young Kim, Hark-Jin Lee, Ji-Yeon Son, Jun-Hee Park
- Issue Date
- 2015-08
- Citation
- Asia-Pacific Network Operations and Management Symposium (APNOMS) 2015, pp.327-331
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- Nowadays, much research in recent years has focused on IoT (Internet of Things). The home domain is the most important research area of IoT, because there expected accounts of home smart device for over 40 percent of connected device excepting mobile phone. Furthermore, enormous data is generated by home smart device. There is growing concern, but the previous works didn't address enough to manage and analyze home data. The purpose of this study is to describe and examine to manage the aggregated home IoT data based on SWO (Smart home Web of Objects), and SWO analytics platform. We shows the implementation of SWO analytics platform and a case study using real data from smart metering devices for analysis of appliance usage patterns.
- KSP Keywords
- Analytics platform, Case studies, Data mining(DM), Home IoT, Management model, Real data, Smart Homes(SH), Smart Metering, Smart devices, Usage Patterns, Web of Objects