Demonstrates big data analysis improvements using causal similarity heuristics, suggesting enhanced decision-making support.
Some possible applications of traditional artificial intelligence techniques and methods to problems of Big Data analysis and decision-making support are discussed. An approach is presented that implements intelligent data analysis (IDA) based on the computer-oriented formalization of the so-called causal similarity heuristics. Capabilities of combinatorial enumeration control implemented within the developed version of IDA are explored.
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Michael Ivanovich Zabezhailo (2025) studied this question.
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