KnowledgeMiner is an essential tool for researchers needing to perform data mining, learning and modeling. It can be used for classification, modeling, time series forecasting, sequential patterns and clustering. Uncover patterns in large data sets. KnowledgeMiner is a powerful, easy-to-use modeling and prediction tool designed to support the process of knowledge extraction from data in a highly automated way. KnowledgeMiner uses self-organizing networks of active neurons (gmdh), self-organizing fuzzy rule induction and analog complexing. KnowledgeMiner brings high-end modeling capabilities to your desktop. What's more, you do not need to be an expert in modeling because it will learn completely unknown relationships between outputs and inputs of any given system in an evolutionary way, by itself.
KnowledgeMiner Software creates data mining tools that enable anyone to use data modeling to quickly visualize new possibilities. The software uses artificial intelligence designed to easily extract hidden knowledge from data and based on the cybernetic principles of self-organization: Learning a completely unknown relationship between output and input of any given system in an evolutionary way from a very simple organization to an optimally complex one. KnowledgeMiner can be used in any field and is presently used in finance, ecology, chemistry, biology, physics, stock trading, currencies, ad sales, statistics, education, medicine, sociology, environmental science, geology, physiology, economy and health care.
What's new in this version:
- [update] General maintenance and performance improvement of the software.
- [update] New example document "What Drives Global Warming?" added with models and data referencing to a recent post at our Global Warming Prediction Project site.