Name
Abstract | ||
|---|---|---|
This research explores the capacity of Machine Learning techniques to detect anomalies and how incorporate this capacity to thinger.io platform. Thinger.io is a IoT opensource platform that allows to create an IoT environment using any hardware available on market. In this paper, several ML techniques are proposed to detect anomalies in the platform. |
Year | Venue | Field |
|---|---|---|
2018 | PAAMS (Workshops) | Computer science,Internet of Things,Artificial intelligence,Machine learning |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
15 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nayat Sánchez Pi | 1 | 48 | 15.93 |
| Luis Martí | 2 | 43 | 9.51 |
| Alvaro Luis Bustamante | 3 | 13 | 3.70 |
| José M. Molina | 4 | 604 | 67.82 |