KnowledgeMiner X 5.3 review (mac)

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KnowledgeMiner is a powerful, easy-to-use modeling and prediction tool designed to support the process of knowledge extraction from data on a highly automated level.

License: Shareware
OS: Mac OS X
File size: 5830K
Developer: Script Software      
Price: $65.00
User Rating:  
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KnowledgeMiner X 5.3 is developer tools software developed by Script Software.
KnowledgeMiner is a powerful, easy-to-use modeling and prediction tool designed to support the process of knowledge extraction from data on a highly automated level.

KnowledgeMiner X is an artificial intelligence tool designed to easily extract hidden knowledge from data.

It works on two advanced self-organizing modeling technologies: Group Method of Data Handling(GMDH), and Analog Complexing.

Built onthe cybernetic principles of self organization, KnowledgeMiner brings high-end modeling capabilities to your desktop.

KnowledgeMiner can help you answer questions like:

  • Environment: "Is the Earth getting warmer?"
  • Economy: "When will the U.S. recover from the recession?"
  • Finance: "What will be the closing price of my favorite stock?"
  • Markets: "How much should we charge for our new product?"
  • It's also excellent for: Ecology, Biotechnology, Chemistry, Math, Sociology, Engineering, Medicine, and much more.

    Here are some key features of "KnowledgeMiner X":
  • Only minimal, uncertain a priori information about the system is required. That means, even if you have no experience in modeling, data analysis or designing a neural network you will be able to model, analyze and predict complex relationships of nearly any kind of system.
  • A very fast and effective learning process for a personal computer. That means you can solve problems on your desktop in a reasonable time which you may have never thought possible.
  • Modeling short and noisy data samples. That means, you can deal with a problem as is and don't have to construct artificial conditions for your modeling method to get it work.
  • Output of an optimally complex model. Generally you can be sure to get a model at the end of the automated modeling process which can be expected not to be overfitted. Overfitted models are not able to predict inherent relationships between variables.
  • Output of an analytical model as a transparent explanation component. That means, you can evaluate the analytical model to explain the obtained results immediately after modeling.
  • KnowledgeMiner 5.0 works on three advanced inductive learning modeling algorithms.

    Limitations:
  • This demo is limited in several ways, including the inability to save, print, or accept more than 25 input variables.

    What's New:
  • [new] automated fuzzy model based defuzzification implemented, which simplifies use of fuzzy models very much;
  • [new] defuzzification model self-detects if related fuzzy models are available and takes their outputs for back-transforming results into the initial data space;
  • [new] works on both static and dynamic fuzzy models;
  • [fixed] bug that identifies defuzzification models as dedicated classification models;
  • [fixed] bug with decimal point/comma conversion issues in the regression model export routine.
    This program is shareware, which means you can download and use KnowledgeMiner X 5.3 for free during 30-days trial period. After this period you gonna have to buy KnowledgeMiner X 5.3 software for $65.00 or uninstall the program. KnowledgeMiner X 5.3 supports different languages (including english). It works with Mac OS X.

    Downloading KnowledgeMiner X 5.3 will take minute if you use fast ADSL connection.


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