Visual Modeler for Data Intensive Tasks
Ferenc Kovács, Zolt ́n D ́vid · 2012
Data mining and knowledge discovery is an iterative process there are several fundamental algorithms for discovering hidden and unknown relationships in data. Usually it is difficult to find the appropriate algorithm moreover choosing the right settings parameter for the chosen algorithms is at least as complex task as choosing the best feasible data processing strategy. Therefore a visual modeler tool can be a powerful solution for testing and evaluating the different processing strategies and algorithms. In this paper a novel data modeling framework is introduced: Knowledge Modeler and Data Miner (KMDM) framework. It is an extendable tool that provides the possibility of visual modeling of data processing.