Knowledge discovery in data and causal models in analytical informatics

• Veröffentlicht in: PROBLEMS IN PROGRAMMING
• Datum: 2018
• Heft: 3
• Сторінки: 96-112
• ISSN: 1727-4907
• Автори та афіліації: O.S. Balabanov — Institute of Software Systems NAS of Ukraine — ORCID: 0000-0001-9141-9074
• 1. Verfasser: Balabanov, O.S.
• Format: Artikel
• Sprache: Ukrainisch
• Veröffentlicht: PROBLEMS IN PROGRAMMING 2018
• Schlagworte: causal network; model inference from data; Markov properties; conditional independence; structure of dependencies; causal effect; edge orientation; d-separation; UDC 004.855:519.216
• Online Zugang: https://pp.isofts.kiev.ua/index.php/ojs1/article/view/299
• Назва журналу: Problems in programming

The methodology of inductive inference of causal models is briefly overviewed. We argue that causal networks, being recovered from data, are able to describe adequately a structure of influences in environment (object) at hand. It’s a causal model that is required when predicting the effect of inter...