Export created models to Microsoft Excel for immediate use!

Features of version X 5.3.4 (Mac OS X only)

• [new] Leopard maintainance release
• [new] TransformModel version 1.0.9;
• [new] Model export v.1.1.1;
• [new] Business Intelligence Case Study version 1.0.7;

Features of version X 5.3.3 (Mac OS X only)

• [new] call for papers for the 2nd International Workshop on Inductive Modeling which aims at state, progress, applications, and outlook of inductive modeling technologies like self-organizing networks of active neurons;
• [bug] when building models from just 2 inputs fixed (in version X 5.3.2, only);
• [bug] fixed that may produce, for very complex nonlinear models, minor differences between the generated model equation and the calculated model output (graphics); the export of models to MS Excel has not been affected by this bug;
• [bug] fixed that occasionally causes KM to crash when reading the clipboard at program startup;

Features of version X 5.3.1 and 5.3.2 (Mac OS X only)

• [new] improved significance testing during model self-organization to avoid using non-relevant inputs in a model;
• [new] special time limited educational price for the Platinum version. Discover knowledge in your data and publish on our site;
• [updated] more reliable registration procedure;

Selected features of previous versions (Mac OS X only)

• [new] modeling algorithm to build dedicated classification models by self-organizing GMDH networks;
• [new] extended AppleScript support;
• [new] dedicated graphics supported;
• [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;
• [new] article on the problem of modeling ecotoxicity added;
• [updated] TransformModel v.1.0.8 now runs natively on Intel and PowerPC based Macs (universal binary);
• [updated] Business Intelligence Case Study app v.1.0.6 as universal binary;
• [new] new article on commodity price prediction added to the publications area;
• [new] extended AppleScript support for creating models from scripts;
• [new] creation of Analog Complexing classification models;
• [new] creation of Analog Complexing clustering models;
• [new] several properties added to the GMDH and fuzzy model classes for setting enhanced modeling parameters;
• [new] extended model evaluation features for Platinum users (works also in demo);
• [new] decomposition of the overall model error into bias, regression slope, and random disturbances contributions;
• [new] detection of worse described output values;
• [new] detection of high leverage input vectors in both modeling and prediction phases;
• [new] marks high leverage input vectors in line and scatter plots;
• [updated] improved Analog Complexing pattern recognition algorithm; detection and handling of constant target patterns;

General features of version 5.0 (all supported platforms)

• for the first time, integrated noise filtering characteristics for a second level, on-the-fly model validation; supports evaluation if a model reflects a causal relationship or if it just models noise;
• explicit definition of exogenous variables for creation of systems of equations;
• two new data mining algorithms: Analog Complexing based clustering and classification (n classes);
• extended table dimension for up to 30,000 rows;
• program-to-program communication via AppleScript (Mac only):
  • creating and predicting GMDH, Fuzzy, and AC models from within a script;
  • allows for knowledge discovery workflow processing;
  • executable sample script for demand prediction included: importing data from databases (FileMaker or AppleWorks) or spreadsheets (MS Excel), data preprocessing, data mining using different technologies, prediction of new data, combining of predictions, and returning a final prediction (high, mean, low) to the initial data source;
• ROC analysis to measure classification power of a model;
• 5 hours data mining service included;
• a new Platinum Edition introduced;

(read more...) (870k - PDF)

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), recognition of handwritten digits, Wine Recognition, national economy, to party affiliation in the US congress. The many examples included with KM show its power to work on human issues.

Download and try our free trial version

Also, several papers added to the documentation

• "Prediction of Wastewater Pre-precipitation Variables using Self-Organizing Networks"
  Conference paper Limassol, Cyprus, 2005
• "A GMDH Approach to Modelling Gibbsite Solubility in Bayer Process Liquors"
  Journal paper 2004
• "Does my model really reflect a causal relationship?"
  About noise filtering power of GMDH, do not believe in a model's closeness-of-fit, only, and introduction of a new model quality measure: Descriptive Power, 2002