Subscribe to RSS Latest Releases by KnowledgeMiner Software

Ockham 2.0: Identify the Critical Factors and Interactions in Your Model

May 08, 2017 - Berlin based KnowledgeMiner Software today announces Ockham 2.0 for Mac OS X, an advanced and easy to use app for performing rigorous sensitivity analyses for a high number of model parameters. Ockham's original approach to global sensitivity analysis based on self-organizing analysis concepts is designed to be a valuable and highly automated tool in academic research and for industry practitioners across a wide spectrum of disciplines.


Insights 5.1 - Unparalleled Knowledge Mining for macOS Sierra

Oct 04, 2016 - Berlin based KnowledgeMiner Software today announces Insights 5.1 for macOS Sierra, a performance update to its critically acclaimed application recognized as an alternative and supplemental tool to established confirmatory science-based modeling approaches. Following the principle of Occam's razor, the app develops complexity-minimized predictive models by GMDH from observation data and extracts new knowledge in form of explicit predictive model equations that describe the data.


Insights 5.0: Learning from Observations

Apr 19, 2016 - KnowledgeMiner Software is pleased to announce the release of Insights 5.0 for OS X, a major update to its critically acclaimed application recognized as an alternative and supplemental tool to established confirmatory science based modeling approaches. Following the principle of Occam's razor, the app now develops complexity minimized predictive models from observation data, autonomously, and extracts new knowledge in form of explicit model equations that describe the data, mathematically.


Insights 4.0: Predictive Models for Web, iOS, and OS X Dev Projects

Nov 05, 2015 - KnowledgeMiner Software has released Insights 4.0, a major update to its critically acclaimed application that implements original self-learning modeling algorithms for easy development of reliable predictive models from data. With ready-to-use Python and Objective-C source code implementation of developed models into web, iOS, or OS X development projects, Insights 4.0 takes cost and time-to-deploy measures to a new level of applicability and value for academic users and app developers.


Ockham 1.0: Identify the Critical Factors in Your Model

Oct 13, 2015 - Berlin based KnowledgeMiner Software today announces Ockham 1.0 for Mac OS X, an advanced and easy to use app for performing rigorous sensitivity analyses for a high number of model parameters. Ockham's original approach to global sensitivity analysis based on self-organizing analysis concepts is designed to be a valuable and highly automated tool in academic research and for industry practitioners across a wide spectrum of disciplines.


Insights for OS X Used for Probabilistic Renewable Energy Forecasting

Feb 24, 2015 - KnowledgeMiner Software announced the remarkable application of their critically acclaimed collection of self-learning forecasting technologies implemented in Insights for OS X to a set of high-priority probabilistic energy forecasting problems posed by renewables and the smart grid world. Insights is a professional tool for building predictive models from data of complex systems. It is currently used by NASA, MIT, Mobil, Pfizer, and many other corporations and research institutes worldwide.


Insights 3.2 for OS X: Automated Forecasting and Workflow Integration

Oct 01, 2014 - Berlin based KnowledgeMiner Software today announces Insights 3.2, which adds export of ready-to-use predictive models generated in Insights, automatically, to AppleScript, Excel, and MATLAB, and it implements Auto-updating of models for fast, accurate, and continuous forecasting of market prices, market demand, sales figures, or energy load, for example. Users in nearly any field without being an expert in modeling can build and install powerful predictive models from data.


Insights 3.1 for OS X: Automated Forecasting and Workflow Integration

Apr 09, 2014 - Berlin based KnowledgeMiner Software today announces Insights 3.1, which adds Auto-updating of models for fast and accurate forecasting of market prices, market demand, sales figures, or energy load. Users now can run simulations on historical data stored in Excel for backtesting or use it on real-time data for continuous forecasting of processes several steps ahead. All results are reported and stored in Excel for further use or workflow integration.


Insights 3.0 for OS X: Similar Patterns Technology for Easy Forecasting

Jan 28, 2014 - KnowledgeMiner Software today announces Insights 3.0, an update to their outstanding self-organizing, predictive modeling application for Mac OS X. With Similar Patterns technology Insights 3.0 adds innovative forecasting to its adaptively learning modeling methods. Users in nearly any field can analyze data sets and build powerful models, which help to gain new insights into complex phenomena, predict future behavior, simulate "what if" questions, and identify methods of controlling processes.