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01/22/01 KnowledgeMiner
3.2.1 shipped 
Downloads
System
Requirements
Editions
Copper
Silver
Gold
Unique
Features
- MacOS 7.0 + AppleGuide + QuickTime or
- MacOS 7.5 or newer
- any PowerPC based Apple Macintosh
- 32+ MB RAM recommended
This table outlines the main features of the
editions. For a more detailed view, see below.
For prices, click here.
Knowledge
Miner
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GMDH
(max. inputs)
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AC
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FRI
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Financial
Trading
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Data Sheet
rows/ cols.
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eBook
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Copper
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x (50)
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-
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-
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-
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3,000/ 100
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x
|
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Silver
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x (500)
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x
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-
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-
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3,000/ 100
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x
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Gold
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x (500)
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x
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x
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x
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10,000/ 500
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x
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Demo*
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x (50)
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x
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x
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x
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3,000/ 100
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-
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GMDH - Advanced
adaptive learning Neural Network modeling
technology
AC - Analog Complexing pattern recognition
technology
FRI - Self-organizing Fuzzy Rule Induction
technology
Financial Trading - Integrated, predictive
modeling based trading indicator
eBook - J.A. Mueller, F. Lemke:
Self-Organising Data Mining. Extracting
Knowledge From Data. 1999. 225 pages (PDF
file)
* cannot save and
print; GMDH and Fuzzy are limited to 4
layers; AC is limited to a pattern length
of 10 and a data length of 500
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- spreasheet like handling of data
including simple formulas and cell
references
- several built-in mathematical
functions for extending the data basis:
- xy, x(y/z),
trigonometric, exponential and logarithmic
functions, mean, sum and standard deviation,
correlation analysis, random values, add
uniform noise
- opens ASCII text files
- creates automatically
- linear or nonlinear static
GMDH-models
- multi-input/single-output models as
well as multi-input/multi-output models
(system of equations) available
analytically and graphically
- linear or nonlinear dynamic
GMDH-models
- time series models,
multi-input/single-output models as well
as multi-input/multi-output models
(predictable system of equations)
available analytically and
graphically
- for up to
- enables background modeling
- Receiver Operating Characteristics
(ROC)
for evaluation of the classification power
of generated models
- stores all created models in a model
base dynamically
- all models can be used for status-quo or
what-if predictions, classification or
diagnosis problems within KnowledgeMiner
- copy (PDF file) of the new book by
Mueller/Lemke "Self-Organising
Data Mining"
- AppleScript support for
Program-to-Program communication across the
system
Additional features to Copper:
- creates GMDH-models automatically for up to
- 500 input variables (for more
variables, call) enabling solution of complex
real-world problems
- creates nonparametric prediction models for
fuzzy objects by Analog Complexing, an
advanced pattern recognition technology for
evolutionary processes. A synthesis of different
prediction models (GMDH-based and Analog
Complexing-based) is now possible as a powerful
way to increase prediction accuracy.
Additional features to Silver:
- provides Fuzzy Rule
Induction as a
third self-organizing data mining method for
modeling, classification and prediction
tasks
- extended data sheet for large data
sets (up to 10,000 rows/ 500 columns)
- integrated and easy-to-use predictive
modeling based financial trading indicator
(MACD principle) that deals with uncertainty. In
this way, forward looking, daily trading signals
are generated based on an asset's recent
volatility and prediction uncertainty.
- GMDH Neural Networks that perform
- Active Neurons selecting their input
variables themselves
- advanced network synthesis and model
validation techniques to end up in a robust,
optimal complex model
- creation of a best and autonomous system
of equations (network of GMDH Neural
Networks) which is ready for status-quo
predictions of the complete system by default
and which is available analytically and
graphically (system graph) for results
interpretation
- Analog Complexing as a powerful
pattern search technology to create predictions
for fuzzy processes (the most market processes
e.g.) which other methods may be not appropriate
for.
- Fuzzy Rule Induction from data to
describe objects in a more natural language
qualitatively
- explanatory power of any created
model by default
- a model base to store all models and
to keep connected information together
- completely autonomous modeling process that
can work as background process on your
Mac saving your resources either by working
simultaneously with the modeling process or, for
larger problems, by running the process
overnight
- self-adjusting, predictive modeling based
financial trading indicator (MACD
principle). Forward looking, daily trading
signals are generated based on an asset's recent
volatility and prediction uncertainty.
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