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KnowledgeMiner 3.0
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KM Press Release 3⁄29⁄99
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1999-03-28
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3/29/99
Press Release
Breakthrough Datamining Technology Announced
KnowledgeMiner is in use by NASA, Boeing, MIT, Columbia, Notre Dame,
University of Hamburg, Mobil Oil, Pfizer Inc., Dean & Company and many other
corporations, universities, research institutions and individuals around the
world in many fields of human enquiry.
KnowledgeMiner Gold is the first choice in datamining because it provides
the most objective, easiest, fastest and least expensive data mining
technologies in the world. Also as it learns about a new dataset it
generates equations, rules or patterns on the fly that model that data. It
is knowledge extraction in its most advanced form. Mining data and striking
gold is much more probable with a datamining tool like KnowledgeMiner then with neural nets, statistical programs or simple spreadsheets.
KnowledgeMiner can be downloaded from: http://www.scriptsoftware.com
Included datasets and examples range from prediction of global temperature,
stock market trends, medical diagnosis, failure of materials (like the
Challenger Space Shuttle O-Ring), to party affiliation in the US congress.
The many examples included with KM show its power to work on human issues.
KnowledgeMiner Gold from Script Software is the only dataminer that has
Inductive Learning Networks (GMDH), Analog Complexing and Fuzzy Rule
Induction in one application. As a prediction tool and also for educational
purposes KnowledgeMiner has no equal.
KnowledgeMiner is a powerful, easy-to-use modeling and prediction tool which
was designed to support the knowledge extraction process from data in a
highly automated way. It works using three advanced self-organizing modeling
technologies: Group Method of Data Handling (GMDH), Analog Complexing and
Fuzzy Rule Induction. This is the first time that all of these algorithms
have been available in one place on any computer platform.
Built on the cybernetic principles of self-organization, KnowledgeMiner
brings high-end modeling capabilities to your desktop without the need for
an expert. It can learn completely unknown relationships between the outputs
and inputs of a given system in an evolutionary way from a very simple
organization to an optimally complex one by itself.
Why is KnowledgeMiner needed? There are two main reasons.
First because of the explosive growth of many business, government,
scientific and personal databases. The flood of information has far outpaced
our ability to interpret and digest this data. Huge databases like:
-the human genome project
-Mobil oil exploration info (100 terabytes)
-NASA Earth Observing System (50 gigs/hour) and many others are all rapidly expanding the volume of info that is available to us.
Second because now there is a strong demand for a new generation of tools
and techniques for automated and intelligent database analysis both on large
and small datasets. Coupled with a growing desire by non-specialists for
easy to use tools which don't require a lifetime of experience and knowledge
to operate.
KnowledgeMiner has been used successfully for analysis and prediction in the
fields of finance, economics, imaging, ecology, health, biotechnology,
chemistry, math and many others. Professionals in many areas can benefit by
downloading and trying out the examples then using this tool to mine their
own field for new relationships.
In comparison with statistical modeling tools and neural networks
KnowledgeMiner stands out as easier, faster and more applicable to a wide
range of real-world problems since it creates the model structure or network
topology automatically without predefinition. This makes KnowledgeMiner the
least expensive and most effective modeling and prediction tool available on
any platform.
KnowledgeMiner is a Mac only tool. Those without a Mac will want to buy a
KnowledgeMiner workstation (any PPC Mac). This strategy allow the KM
programmers to focus their energies on supporting the fast PPC and soon the
PPC/Altivec processors to add more features and new algorithms. Be assured
that there are many surprises in the pipeline.
Data mining, knowledge discovery, and decision support are becoming
increasingly important for all areas of human activity. As an example look
at El Nino. El Nino is now described as a minute temperature change in the
ocean off of South America which strongly influences global weather. Last
year we were all very impressed by the power of El Nino but until recently
that data was buried in a mountain of other climatic data. How many other
powerful influences on weather, politics, sociology, economy, energy,
health, history, crime, etc. are hidden in the vast store of data we already
have?
Specific questions like how national economies are interconnected and
affected by local crises, how water quality and temperature is influenced by
the environment and vice versa, how the population of a country or the world
will change, how cancer can be detected and understood better or how credit
card fraud can be detected are only a few of the applications that a tool
like KnowledgeMiner can be used for.
Many people have wanted to learn more about self-organizing modeling and the
basic ideas behind KM's modeling methods. Frank Lemke with Prof. Mueller are
just finishing a book called "Numerical Insights into Complex Systems.
Self-organizing Data Mining". This book covers several areas of knowledge
discovery and introduces a spectrum of parametric and nonparametric modeling
methods that are implemented or scheduled to be implemented in
KnowledgeMiner - all of them for the first time on any computer platform.
KnowledgeMiner is evolving software. We offer a new version every few months
at no charge to registered users. Please check our web site for more
details.
Thank You
Frank Lemke Frank_Lemke@magicvillage.de
Julian Miller julian@scriptsoftware.com