Sensitivity Analysis is the study of how the variation in the output of a system can be quantitatively apportioned to parameters variations.
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Leading Knowledge Mining and Sensitivity Analysis Technologies for the Mac.
KnowledgeMiner Software is a privately held company founded in 1993 in Berlin, Germany. The company is active in research, development, consulting, and application of unique self-organizing modeling and analysis technologies. It is the developer of the distinguished Insights and Ockham knowledge mining and sensitivity analysis tools for the Mac. The software implements an outstanding set of parallel algorithms for modeling, validation, and workflow processing of complex systems to allow knowledge extraction and global sensitivity analysis from noisy real-world data in a most objective, automated, and fast way. The company developed and implemented a number of original technologies for validation of inductively built data mining models including new approaches for application domain definition and identification, cost-sensitive and ensemble modeling with per-sample prediction uncertainty, and self-organizing knowledge extraction from high-dimensional variables space of noisy data.

KnowledgeMiner Software has been doing consulting in model development and prediction of toxicological and eco-toxicological hazards and risks of chemical compounds from experimental data for regulatory purposes within REACH and participated in three international research projects funded by the European Commission related to QSAR modeling and model evaluation. Other fields of activity have been climate change related modeling and prediction problems, probabilistic energy forecasting, sales and demand predictions, macro-economic modeling problems, medical diagnosis of diseases, and wastewater reuse problems.

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April 19, 2016
Insights 5.0: Learning from Observations.
Model self-organization
November 5, 2015
Insights 4.0: Predictive Models for Web, iOS, and OS X Dev Projects
Model deployment
October 13, 2015
Ockham 1.0: Identify the Critical Factors in Your Model
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