Author Description

The Guha Is A Method Of Mechanizing Hypothesis Formation. The Input Of The Guha Procedure Consists Of Analysed Data And Several Parameters Defining A Large Set Of Relevant Patterns. The Output Is A Representation Of A Set Of All Relevant Patterns Satisfying The Given True Condition. Case Studies Concerning Applications Of Guha Procedures Dealing With Patterns In A Form Of Enhanced Association Rules, Couples Of Association Rules, Action Rules, Histograms, Couples Of Histograms, And Patterns Based On General Contingency Tables Are Presented. Theoretical Foundations Based On Observational Calculi Are Introduced. An Overview Of The Recent Relevant Research Results Is Also Available-- Provided By Publisher.