Abstract:
The capabilities of enumeration optimization in intelligent data analysis by the DSM method of automated hypothesis formation are discussed. Options for enumeration control are considered, as well as options for enumeration reduction by decomposing the entire multitude of DSM hypotheses into independently formed fragments. The concept of the approximate DSM method is formulated.
Keywords:DSM method of automated hypothesis generation, computing complexity, enumeration optimization, methods of decomposition in enumeration reduction.