- Data Mining in Finance - Scientific Discovery and Computational Cognition - Approach - Theory and methods - Comparisons with other methods - Prediction problem - Mearsurement theory - Probabilistic formal concepts - Induction problem - Natural classification - Principals - Functional systems theory - Computer models - Perception - Financial forecasting - Bioinformatics - Medicine - Forensic Accounting - Other - Evgenii Vityaev - Boris Kovalerchuk Last updated 07/05/2020 |
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## Ontological Data Mining## Our Relational Data Mining approach has the following main points:
We denote the possibility of overcoming limitations of some Data Mining methods concerning particular data types, language to manipulate (interpret) data and hypothesis class to be tested. The Discovery DM Tool may be considered as a Tool, generating a set of forecasting law-like rules by the specification of Data Types, Invented predicates and Rule Types. The study of Machine Methods for Discovering Regularities (MMDR) was initiated in the seventies at the Institute of Mathematics, Russian Academy of Sciences. | ||||