TC7.1 - Exploiting data analytics and machine learning in IOT Applications as MicroService

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Test Case Title

TC7.1 - Exploiting data analytics and machine learning in IOT Applications as MicroService

Goal

Developing IOT Application with extended data analytics functionality (in this case in R studio)

See and Modify data analytics process

Deriving the correlations among data, activating on the collected data sets a set of algorithms that may identify correlations, perform predictions, etc. and thus performing auto tuning among the families of machine learning and statistic algorithm to arrive at the application of the those that provide the best performance in term of precision, AIC, ELBO, etc… according to the methods and context.

Analysing data for correlation, etc.

Getting results from the process executed

Prerequisites

A simple skill for using IOT with Data Analytics and machine learning

Using a PC or Mobile with a web browser.

Conquer a minimal skill on producing R programme if you need to change the program or develop a new one.

The following functionalities are available only for specific Snap4city users with specific privileges.

Expected successful result

Collect and browse results from IOT app with data analytics, creating correlation, predictions, estimate the descriptive statistics, model identification, produce the graphics for data trends, comparing trends, etc.

Steps

 

 

See TC2.31 - Create Data Analytic Flow and TC2.32 - Make Your Data Analytic Flow Public