IoT Analytics
Solutions
Data is normally collected in an IoT system in order to perform some analyses of the data. Typical needs are to find patterns in the historical data collected or unknown relationships, detecting anomalies in data and forecast values.
The main problem for developers is that IoT Analytics requires deep knowledge of sophisticated algorithms for statistical analysis or machine learning techniques.
To simplify IoT Analytics CNet are developing a number of tools to support developers in integrating analytical functions as part of their solutions. These tools are available as extensions to Linksmart .net Open Source.
The main features of Linksmart.net Analytics Extensions are
Visit the IoTWorldServices to learn more and download.