— the company behind such Mac utilities as CopyPaste, iClock, and PhotoMover — has brought its KnowledgeMiner application to Mac OS X.
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The application — which is also available for the traditional Mac operating system — is a neural network analysis program that takes inputs and results for systems and derives equations that describe the results in terms of the inputs. The software application employs a set of inductive learning and self-organizing modeling technologies: GMDH Neural Networks, Fuzzy Rule Induction, and Analog Complexing pattern recognition for time series prediction, classification, modeling, clustering, and diagnosis of complex ill-defined systems.
Multileveled self-organization and validation approaches make it not only possible to generate reliable individual and hybrid models in a most objective way, but they also provide an explanation component on the fly in form of algebraic or difference equations, fuzzy rules, or a set of similar patterns, according to Julian Miller of Script Software. This extracted knowledge can be directly used to improve model results, to get new insights into the system, and to aid decisions, he added.
KnowledgeMiner X contains several pre-modeled examples from various application areas, several sample scripts for program-to-program communication, a sample KDD workflow script, and a free PDF copy of the book “Self-Organizing Data Mining” by Professor J. A. Mueller and Frank Lemke.
KnowledgeMiner is available in a variety of different options, ranging from a US$65 student edition to an $1,800 platinum version that includes consulting time from experts in data mining technology.