![]() Since the system in question may be extremely complex, the basic assumptions of the modeler may be vague guesses at best. ![]() A major difficulty in modeling complex systems in such unstructured areas as economics, ecology, sociology, and others is the problem of the researcher introducing his or her own prejudices into the model. Why a self-learning, inductive modeling is needed? Today, there are many problems in practice where it is impossible to create analytical models using classical theoretical systems analysis or common statistical methods since there is incomplete knowledge of the processes involved. Insights creates a validated optimal complex analytical model, automatically, that can be applied and exported to Excel, AppleScript, or MATLAB for further analysis. ![]() Users can develop predictive models and model ensembles, along with a prediction interval from low to high-dimensional noisy data, of up to several thousands of input variables. Microsoft Excel), Insights has outstanding self-learning, inductive modeling algorithms that allow users to easily extract new and useful knowledge from data to support decision-making. Compatible with data stored in a variety of popular formats (i.e. Taking observational data that describes a problem, system, or process, Insights constructs a working mathematical model. * Includes documentation, extra literature, sample data and models for several data samples * Self-organizes models and generalizes the equation that describes the data * Hides all complex processes, such as knowledge extraction, model development, and variables selection, from user * Model export to Microsoft Excel, to ready-to-use AppleScript code, or to TEXT to be used in MATLAB * Similar Patterns sequential pattern recognition method with auto-updating for long-term, continuous forecasting * High performance self-learning, inductive knowledge mining with ease Insights is used for modeling and prediction of engineering problems, climate change, health or life sciences-related questions, or mining collections of data from government Users in nearly any field without being an expert in modeling can build and install powerful predictive models from data, which help to gain new insights into complex phenomena, predict future behavior, simulate "what if" questions, and identify methods of controlling processes. The software now adds export of ready-to-use predictive models generated in Insights 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.īerlin, Germany - KnowledgeMiner Software today is pleased to announce the release of Insights 3.2, an update to its critically acclaimed application that brings conventional data mining and forecasting to a new level of sophistication and applicability. ![]() Insights 3.2 for OS X: Automated Forecasting and Workflow Integration - Published on 10/01/14īerlin 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.
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