Data Mining on the Candela Cloud Platform

This paper describes the work done with the Data Mining components of the H2020 CANDELA project, mainly the Data Model component on the CANDELA platform as its back end, and the user interaction component of the local user machine as front end. The Data Mining tool is basically composed of four main submodules: the Data Model Generation for Data Mining (DMG-DM), the database management system (DBMS) sub-module that has already been dockerized and deployed on the CANDELA platform, the image search and semantic annotation (KDD) sub-module and the multi-knowledge and query (QE) sub-module. They all require user inputs, and connect directly to the database on the platform; they can be started as a normal GUI (Graphical User Interface) tool.