Quarterly journal published in SPbPU
and edited by prof. Peter Zegzhda
Peter the Great St. Petersburg Polytechnic University
Institute of computer sciences and technologies
information security of computer systems
Information Security Problems. Computer Systems
Published since 1999.
ISSN 2071-8217
THE PROBLEMS OF TRUST ASSESSMENT IN BIG DATA ANALYSIS

Grusho A.A., Grusho N.A., Zabezhailo M.I., Timonina E.E.
Federal Research Center “Informatics and Control” of the Russian Academy of Sciences
Russia, Moscow

Annotation: The paper examines the problem of evaluation of trust to the results of complex computer analysis of data. The approach of constructing empirical dependencies based on similarity of precedents in the training sample, which has already become classical, is used. The trust approximation is based on simulating training data by random sampling from an unknown distribution. This approach implements approximate causal analysis and have advantages and disadvantages.
Keywords: Information Security, Artificial Intelligence, Causal Relationships, Contradictions in Data.
Pages 137-143