… data associated with the components of the model, and use appropriate interaction mechanisms that allow you to navigate on this model … Augmented ModelVisualizationDataMining (…
… It also gives a quick summary of datamining and modeling tools. Once these preliminaries are out of the way, the chapters describe the current product and research scene and give …
… visualization approach based on a Sensitivity Analysis (SA) to extract human understandable knowledge from supervised learning black box dataminingmodels… well-known models (NN…
JM Martínez-Martínez, P Escandell-Montero… - Progress in Artificial …, 2016 - Springer
… visualization methods are applied to different datamining techniques to evaluate their performance using the data … is a neural model that carries out a low-dimensional visualization of …
… Examples of deliverables include a report outlining the results of the analysis or a predictive model (a mathematical model that estimates critical data) integrated within an operational …
HL Viktor, E Paquet - Data Warehousing and Mining: Concepts …, 2008 - igi-global.com
… datamining tool, may be visualized throughout the datamining process. This aspect includes … Datamining techniques construct a model of the data through repetitive calculation to find …
… and entities that form part of any datamining process. The paper is organized … visualization in the KDD process. In section 3, we introduce our model and description of the datamining …
… The visualization tools are used to display data and models of data generated by the mining … The second tier is the server, which includes Data Mover and the analytical mining engines. …
… are free of noise and some transformations are needed for visualizing very large data sets. The second phase consists of choosing or building a model that better reflects the application …