Insights

Insights 6.2

Free
Original 64-bit parallel software for building predictive models from data, automatically, by evolutionary, self-organizing modelling approaches.
 
6.2 (See all)

Insights is original 64-bit parallel software for building predictive models from data, automatically, by evolutionary, self-organizing modelling approaches. Taking observational data that describes a problem, system, or process, the software constructs a working mathematical model. Compatible with data stored in a variety of popular formats (e.g., Microsoft Excel), its AI-powered, self-organizing, modeling algorithms allow users to easily extract new and useful knowledge to support decision-making.
Whether applied to sales prediction, energy forecasting, engineering problems, climate change, health or life sciences related questions, or mining collections of data from government agencies, KnowledgeMiner opens up a wealth of new possibilities to individuals, small business owners, and scientists that were previously available only to large entities that could afford expensive data mining applications. Users in nearly any field can employ the easy-to-use software to analyze noisy data sets and build powerful models, which can be used to help to gain new insights into complex phenomena, predict future behavior, simulate "what-if" questions, and identify methods of controlling processes. Feature Highlights Brings high-performance Personal Knowledge Mining to users with unprecedented ease of model building and deployment - takes full advantage of the computing power of your Mac; Hides all complex processes of knowledge extraction, model development, dimension reduction, variables selection, noise filtering, and model validation from the user; Self-organizes linear or nonlinear, static or dynamic regression models and model ensembles - generates the equation that describes the data; Checks if, and the extent to which, the developed model reflects a valid relationship or if it just models noise - employs advanced validation methods based on higher-dimensional modeling; Live Prediction Validation technology - for the first time, gives direct information about model stability for the given input values; Generated analytical models can be used for Status Quo or What-If prediction, analysis, simulation, or optimization problems; Implements developed models and model ensembles in ready-to-use Excel, Python, Matlab, AppleScript, or Objective-C code.
Note: This application contains in-app and/or external module purchases.

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