GhostMiner is unique data mining software from Fujitsu that not only supports common databases (or spreadsheets) and mature machine learning algorithms, but also assists with data preparation and selection, model validation, multimodels like commitees or k-classifiers, and visualization.
All of this and more is available in one package - a large range of data preparation techniques, a broad scope of selection of features methods and a choice of data mining algorithms and visualization techniques are integrated. This means that only one data format (project) is needed, and so trying out and comparing different approaches becomes extremely easy. The package also comes with an intuitive interface, which should make it easier to use even for non-technical user.
The following algorithms are included in GhostMiner: Modelbuilding approaches: IncNet Neural Network, FSM Neurofuzzy System, SSV Decision Tree, Support Vector Machine (SVM), k-Nearest Neighbors algorithm
GhostMiner’s data-extraction features make it easier to take better informed business decisions in the right place and at the right time - to ensure competitive advantage.
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