Service mining for Internet of Things
Huang, Bing, Bouguettaya, Athman
–arXiv.org Artificial Intelligence
A service mining framework is proposed that enables discovering interesting relationships in Internet of Things services bottom-up. The service relationships are modeled based on spatial-temporal aspects, environment, people, and operation. An ontology-based service model is proposed to describe services. We present a set of metrics to evaluate the interestingness of discovered service relationships. Analytical and simulation results are presented to show the effectiveness of the proposed evaluation measures.
arXiv.org Artificial Intelligence
Jun-8-2020
- Country:
- Europe > Germany
- Baden-Württemberg > Karlsruhe Region > Heidelberg (0.04)
- Asia > China
- Sichuan Province > Chengdu (0.04)
- Shanghai > Shanghai (0.04)
- Heilongjiang Province > Daqing (0.04)
- Europe > Germany
- Genre:
- Research Report (0.64)
- Industry:
- Transportation (0.94)
- Information Technology > Smart Houses & Appliances (0.76)
- Technology: