Abstract
Some specific features of modern Artificial Intelligence (AI) technologies are discussed. Intelligent Data Analysis (IDA), defined as data analysis by means of computer intelligent systems (more formal — reasoning systems), is in focus of our discussion. We compare effectiveness of classical Machine Learning (ML) and IDA in extraction of empirical laws (i.e. stable empirical regularities — dependencies) from open collections of experimental data — i.e. in so called knowledge discovery (KD) problems. We'll demonstrate (by examples of applications of JSM Method of automated support for scientific research) that IDA is more general concept than classical ML. Some new IDA-based abilities to improve effectiveness of AI-technologies in important applications are presented.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
