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KnowledgeMiner (yX) for Excel - Download and Try Out Free Info
package
Includes
The leading high-performance knowledge mining tool for the Mac, tutorial, free book on self-organizing data mining, various examples with data and models including Crude Oil Price Prediction Scenarios, CO2 emissions, Global Warming, Chemical Toxicity Model, Computer System Activity Prediction.

universal binary
System requirements
• Mac OS X 10.6 or newer
• Microsoft Excel 2011 or 2008

parallel  64-bit
Performance gains
• Takes full advantage of multi-core processors.
• 64 bit Intel Mac.

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Prices


KnowledgeMiner (yX) for Excel - Overview

There are two different editions of KnowledgeMiner (yX) for Excel plus a time unlimited Free version for evaluation purposes: The Silver edition for solving smaller and simpler modeling problems, and our Gold edition for high-performance, high-end professional knowledge mining needs.

Table 1: Key parameters of all versions.
Excel
versions
Self-organized Analytical Model
Similar pattern
search
Diagram
generation
in Excel
Yearly
fees
eBook
2011
2008
Forecasting, Modeling, Classification
Forecasting
Line, Prediction Interval, Scatter
No
Free

Table 2: Different key parameters.
Versions
Full support
of multiple
cores/CPUs
# of potential
inputs
supported
# of samples
supported
Model export
to Excel
Unrestricted
modeling/
forecasting
Price
Free
No
5
500
Yes
No/No
Free
Silver
Yes
250
50,000
Yes
Yes/Yes
Show
Gold
Yes
350
Excel sheet
Yes
Yes/Yes
Show

Table 3: Common modeling technologies and their applicability to different data set dimensions.
Sample Size n
Small
number of inputs m
(m < 50)
Medium
number of inputs m
(49 < m < 500)
Large
number of inputs m
(499 < m < 50K)
Very Small
(n < 30)
yX, [R]
yX
yX
Small
(29 < n < 200)
yX, [R, NN]
yX, [R]
yX
Medium
(199 < n < 10K)
yX, R, NN
yX, [R, NN]
yX
Large
(10K < n < 1M)
yX, R, NN
yX, [R, NN]
yX
• NN - Neural Networks and other Machine Learning methods.
• R - Statistical regression methods.
• yX - Self-organizing, high-dimensional modeling in KnowledgeMiner (yX) for Excel according to version, Copper, Silver, Gold, or on request.
• [.] - Can be applied under certain conditions only.


Features & Benefits
  • Brings High-Performance Personal Knowledge Mining to Excel users with unprecedented ease of model building and ease of model deployment likewise.
  • Hides the complex processes of knowledge extraction, model development, dimension reduction, variables selection, noise filtering to avoid overfitted models, and model validation to the user.
  • Uses the familiar interface and functionality of Microsoft Excel for storing and organizing the data, building models, and working with the generated models.
  • Self-organizes linear or nonlinear, static or dynamic regression models along with a equation that describes the data from up to 50,000 input variables.
  • High-dimensional modeling by implementing unique model validation methods which significantly help answering one key question if the generated model reflects a causal relationship and to which extent or if it just models noise. This leads to the concept of Descriptive Power of a model.
  • Generated analytical models can be used for Status-Quo or What-If prediction, analysis, simulation, or optimization problems in Excel.
  • Nonparametric forecasting models for fuzzy objects based on Similar Patterns technology.
  • Free PDF copy of the book by Mueller/Lemke "Self-Organising Data Mining."

How KnowledgeMiner (yX) is Different

Starting from the basic ideas in cybernetics to the important influential works of A. G. Ivakhnenko in self-organizing modeling, KnowledgeMiner (yX) for Excel is based on a proven 50-year history and development of essential concepts in mathematics, statistics, information and computer science, and systems theory. It implements 64-bit multithreaded, self-organizing modeling algorithms to make efficient use of multi-core hardware and to significantly reduce time-to-deploy of models by the factor of 10 or more compared to other data mining tools.

KnowledgeMiner (yX) was designed to generate models objectively by taking as much as possible work and subjective decisions from the user to enable true knowledge extraction from noisy data, which must only be minimally influenced by any expectations or assumptions of the user respectively modeler. A consequence of this strict approach is simplicity and consistent ease of use of the tool.

KnowledgeMiner (yX) for Excel is forecasting software, where you can analyze and forecast processes that take place over time, statistical analysis and modeling software to better understand how a complex problem can be described mathematically, and classification software in one tool. It provides a fast and unique way for scientists and business users to generate and apply reliable models from low- to high-dimensional noisy data for a wide range of problems.


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