Some Capabilities of Using Causal Similarity Heuristics in Big Data Intelligent Analysis
摘要
Abstract
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.