Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Gabriela Czibula"'
Publikováno v:
Expert Systems with Applications. 125:142-156
Data mining techniques are intensively used to uncover relevant patterns in large volumes of complex data which are continuously extended with newly arrived data instances. Relational association rules (RARs), a data analysis and mining concept, have
Autor:
Diana-Lucia Miholca, Gabriela Czibula
Publikováno v:
KES
Relational Association Rules (RARs) capture generic relations between attributes values in possibly large data sets. Due to their ability to uncover underlying semantically relevant patterns, they are of particular interest in data mining research an
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030871550
ICVS
ICVS
This paper approaches a problem from Computer Vision, that of classifying indoor and outdoor images using machine learning and deep learning models. To do so, we are going to perform an unsupervised learning based analysis with the aim of determining
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43ab67d05b2f87a3050f421856d8f9ac
https://doi.org/10.1007/978-3-030-87156-7_6
https://doi.org/10.1007/978-3-030-87156-7_6
Publikováno v:
SACI
The main purpose of the Educational Data Mining domain is to provide additional insights into the students’ learning mechanism and thus to offer a better understanding of the educational processes. This paper investigates the usefulness of unsuperv
Publikováno v:
KES
Online data mining techniques are used to uncover relevant patterns in complex data which are dynamic by nature and thus continuously extended with real-time arriving data streams. Relational association rules (RARs), a data analysis and mining conce
Publikováno v:
Applied Soft Computing. 36:519-533
Graphical abstractDisplay Omitted HighlightsWe propose a novel approach to adaptive relational association rule mining.ARARM algorithm is capable of adaptively mining relational association rules.It is applied when the feature set characterizing the
Publikováno v:
ICCP
The task of predicting the stature of human skeletal remains using bone measurements is an important one in bioarchaeology. Classical attempts to solve this problem mostly consist of linear regression formulas on various bone lengths. In order to imp