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Mac Classic  |  Math/Scientific  |  KnowledgeMiner

KnowledgeMiner

KnowledgeMiner - 5.0.9

personal data mining tool

All Time: Not rated (0.0)
This Version: Not rated (0.0)
Current Version: 5.0.9
Release Date: 2005-07-05
License: Commercial
Downloads (this version): 980
Downloads (all versions): 4,098
Price: $65.00-1800.00

Information Related to Version:

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Product Description:

KnowledgeMiner is a data mining tool that enables anyone to use its unique form of modeling to quickly visualize new possibilities. It is an artificial intelligence tool designed to easily extract hidden knowledge from data. It was built on the cybernetic principles of self-organization: Learning a completely unknown relationship between output and input of any given system in an evolutionary way from a very simple organization to an optimally complex one.

One of KnowledgeMiner's major strengths is that it extensively supports prediction of dynamic systems. You can use GMDH, Fuzzy Rule Induction, and Analog Complexing to predict the behavior of any time-based process. Data mining is widely considered to deal only with static systems. Therefore, the majority of data mining tools only support or focus on static systems, such as classification, segmentation and clustering.

Another advantage of KnowlegeMiner is its knowledge extraction capabilities. It self-selects some relevant inputs, generates an optimal composition (model), and provides an explanation component (equation, rule, or patterns) on the fly.

Please see the website at knowledgeminer.com for a more information and examples.

What's new in this version:

  • the package that allows knowledgeminer to run under ms windows is now free.
  • this means everything is now inlcuded to run knowledgeminer under windows.
  • reports on the fly a model's inputs' contribution to increasing model accuracy;
  • optionally, for prediction, checks and limits an input variable's value if it is within the range used for building the model (range check);
  • on the fly calculation of the coefficient of determination (R-squared) and the Mean Absolute Percentage Error (MAPE) on forecasted data;
  • added menu item for simultaneous output of modeled and predicted data into the sheet;
  • registration procedure changed;
  • created fuzzy rules are now displayed in brackets for clearer rule interpretation of AND/OR parts;

Operating System Requirements:

This product is designed to run on the following operating systems:

  • Mac OS Classic

Additional Requirements:

  • System 7.5 or higher

Screenshots:

KnowledgeMiner

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