KnowledgeMiner Powerful, easy-to-use modeling and prediction tool.
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prediction knowledge modelling prediction tool modelling tool knowledge extraction

KnowledgeMiner Description

Powerful, easy-to-use modeling and prediction tool. KnowledgeMiner is a powerful, easy-to-use modeling and prediction tool designed to support the process of knowledge extraction from data on a highly automated level.KnowledgeMiner is an artificial intelligence tool designed to easily extract hidden knowledge from data.It works on two advanced self-organizing modeling technologies: Group Method of Data Handling(GMDH), and Analog Complexing.Built onthe cybernetic principles of self organization, KnowledgeMiner brings high-end modeling capabilities to your desktop.KnowledgeMiner can help you answer questions like:· Environment: "Is the Earth getting warmer?"· Economy: "When will the U.S. recover from the recession?"· Finance: "What will be the closing price of my favorite stock?"· Markets: "How much should we charge for our new product?"· It's also excellent for: Ecology, Biotechnology, Chemistry, Math, Sociology, Engineering, Medicine, and much more. Here are some key features of "KnowledgeMiner": · Only minimal, uncertain a priori information about the system is required. That means, even if you have no experience in modeling, data analysis or designing a neural network you will be able to model, analyze and predict complex relationships of nearly any kind of system. · A very fast and effective learning process for a personal computer. That means you can solve problems on your desktop in a reasonable time which you may have never thought possible. · Modeling short and noisy data samples. That means, you can deal with a problem as is and don't have to construct artificial conditions for your modeling method to get it work. · Output of an optimally complex model. Generally you can be sure to get a model at the end of the automated modeling process which can be expected not to be overfitted. Overfitted models are not able to predict inherent relationships between variables. · Output of an analytical model as a transparent explanation component. That means, you can evaluate the analytical model to explain the obtained results immediately after modeling. · KnowledgeMiner 5.0 works on three advanced inductive learning modeling algorithms. Requirements: · Mac G3/350 MHz or better (including Intel based Macs) recommended Limitations: · This demo is limited in several ways, including the inability to save, print, or accept more than 25 input variables. What's New in This Release: · We recommend downloading and installing the combination (yX) and KnowledgeMiner. This is an upgrade for only the KnowledgeMiner part of the package. · Cost curves added for displaying optimized cost- sensitive classification models. · Business Intelligence Case Study app version 1.0.8. · Class value assignment for classification models in model report.

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