ICASSP 2017accepted0 citations

Data analysis as a web service: A case study using IoT sensor data

Alireza Ahrabian, Sefki Kolozali, Shirin Enshaeifar, Clive Cheong Took, Payam M. Barnaghi

Abstract

The advent of Internet of Things, has resulted in the development of infrastructure for capturing and storing data from domains ranging from smart devices (e.g. smartphones) to smart cities. This data is often available publicly and has enabled a wider range of data consumers to utilise such data sets for applications ranging from scientific experimentation to enhancing commercial activity for businesses. Accordingly this has resulted in the need for the development data analysis tools that are both simple to use and provide the most effective tools for a given data set. To this end, we introduce data analysis tools as web service, that enables the data consumer to make a simple HTTP request for processing data over the internet. By providing such tools as a web service, we demonstrate the potential of such a system to aid both the advanced and novice data consumer. Furthermore, this work provides an use case example of the proposed tool on publicly available data extracted from the smart city CityPulse IoT project.

BibTeX
@inproceedings{icassp2017_dataanalysisasaw,
  title = {Data analysis as a web service: A case study using IoT sensor data},
  author = {Alireza Ahrabian and Sefki Kolozali and Shirin Enshaeifar and Clive Cheong Took and Payam M. Barnaghi},
  booktitle = {ICASSP 2017},
  year = {2017}
}
Data analysis as a web service: A case study using IoT sensor data · ICASSP 2017