![]() ![]() ![]() * 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. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |