Ontological data mining | Sciact - Система учета научной деятельности ИМ СО РАН

Ontological data mining Научная публикация

Журнал

Studies in Computational Intelligence
ISSN: 1860-949X , E-ISSN: 1860-9503

Вых. Данные

Год: 2017, Том: 683, Страницы: 277-292 Страниц : 16 DOI: 10.1007/978-3-319-51052-1_17

Авторы

Vityaev E. ^1,2 , Kovalerchuk B. ³

Организации

1	Sobolev Institute of Mathematics SB RAS, Acad. Koptyug Prospect 4, Novosibirsk, Russian Federation
2	Novosibirsk State University, Novosibirsk, 630090, Russian Federation
3	Computer Science Department, Central Washington University, Ellensburg, WA 98926-7520, United States

We propose the ontological approach to Data Mining that is based on: (1) the analysis of subject domain ontology, (2) information in data that are interpretable in terms of ontology, and (3) interpretability of Data Mining methods and their results in ontology. Respectively concepts of Data Ontology and Data Mining Method Ontology are introduced. These concepts lead us to a new Data Mining approach—Ontological Data Mining (ODM). ODM uses the information extracted from data which is interpretable in the subject domain ontology instead of raw data. Next we present the theoretical and practical advantages of this approach and the Discovery system that implements this approach. The value ofODMis demonstrated by solutions of the tasks from the areas of financial forecasting, bioinformatics and medicine. © Springer International Publishing AG 2017.

Vityaev E. , Kovalerchuk B.
Ontological data mining
Studies in Computational Intelligence. 2017. V.683. P.277-292. DOI: 10.1007/978-3-319-51052-1_17 Scopus OpenAlex

Scopus:	2-s2.0-85012077549
OpenAlex:	W2585613725

БД	Цитирований
Scopus	2
OpenAlex	2