Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/22574| Title: | DAPS-A Web Based System for Predicting IoT Sensor Data | Authors: | Risteska Stojkoska, Biljana | Keywords: | IoT, prediction, sensor data, web-based system | Issue Date: | 2017 | Conference: | 25th Telecommunications Forum (TELFOR) | Abstract: | IoT systems are expected to generate voluminous raw sensor measurements that require high bandwidths to be transmitted to the clouds. IoT data prediction is one solution to this issue. Yet, many algorithms based on different models for times series prediction can be used for this purpose. IoT developers have to choose among many of them, since they perform differently for different sensor measurements. In this paper, we present DAta Prediction System (DAPS), a web-based online tool that helps IoT developers to choose the most suitable data prediction algorithms for their application. | URI: | http://hdl.handle.net/20.500.12188/22574 |
| Appears in Collections: | Faculty of Computer Science and Engineering: Conference papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| DAPS_A_Web_Based_System_for_Predicting_I.pdf | 362.57 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.