6 Artículos

Bibliometric Mining of Research Trends in Machine Learning

Acceso

en línea

Lars Lundberg, Martin Boldt, Anton Borg and Håkan Grahn

We present a method, including tool support, for bibliometric mining of trends in large and dynamic research areas. The method is applied to the machine learning research area for the years 2013 to 2022. A total number of 398,782 documents from Scopus we... ver más

Revista: AI Formato: Electrónico

Tabla de contenido: Vol: 5 Num: 0 Par: 1 Año: 2024

SAES: An Introduction to Self-Adapting Exploratory Structures

Acceso

en línea

Giovanni Maria Sacco

Self-adapting exploratory structures (SAESs) are the basic components of exploratory search. They are abstract structures which allow searching or querying of an information base and summarizing of results using a uniform representation. A definition and... ver más

Revista: Future Internet Formato: Electrónico

Tabla de contenido: Vol: 11 Num: 0 Par: 3 Año: 2019

Patterns in forming the ontology-based environment of information-analytical activity in administrative management

Acceso

en línea

Oleksandr Nesterenko,Oleksandr Trofymchuk Pág. 33 - 42

A new paradigm of the formation of the environment of informational-analytical activity in administrative management based on ontologies was proposed. It was shown that application of this approach makes it possible to formalize domain area and structure... ver más

Revista: Eastern-European Journal of Enterprise Technologies Formato: Electrónico

Tabla de contenido: Vol: 5 Num: 2 Par: 0 Año: 2019

Dynamic Taxonomies: A Model for Large Information Bases

Solicitud

usuarios registrados

Sacco, G M Pág. 468 - 468

Revista: IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING Formato: Impreso

Tabla de contenido: Vol: 12 Num: 3 Par: 0 Año: 2000

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