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
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
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.
Frank Lemke Frank_Lemke@magicvillage.de
Julian Miller firstname.lastname@example.org