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Business-driven data analytics: A conceptual modeling framework
The effective development of advanced data analytics solutions requires tackling challenges
such as eliciting analytical requirements, designing the machine learning solution, and …
such as eliciting analytical requirements, designing the machine learning solution, and …
A conceptual model for ontology quality assessment: A systematic review
With the continuous advancement of methods, tools, and techniques in ontology
development, ontologies have emerged in various fields such as machine learning, robotics …
development, ontologies have emerged in various fields such as machine learning, robotics …
Ontology of core data mining entities
In this article, we present OntoDM-core, an ontology of core data mining entities. OntoDM-
core defines the most essential data mining entities in a three-layered ontological structure …
core defines the most essential data mining entities in a three-layered ontological structure …
[PDF][PDF] Method for ontology content and structure optimization, provided by a weighted conceptual graph.
The complex dynamic structure of the ontology and its content requires implementing of
optimization procedures to better ontology processing performance and resolve conflicts …
optimization procedures to better ontology processing performance and resolve conflicts …
Building of the predicate recognition system for the NLP ontology learning module
The practical approach to recognizing a description logic predicate in a natural language
sentence is presented. The approach is based on using the open source tool-Link Grammar …
sentence is presented. The approach is based on using the open source tool-Link Grammar …
[PDF][PDF] Gaming Method of Ontology Clusterization.
In the real world an intelligent system often consists of intelligent agents, each having its
own perspective and goal and executing the common task interacting with others. Those …
own perspective and goal and executing the common task interacting with others. Those …
[PDF][PDF] OWL reasoner evaluation (ORE) workshop 2013 results
The OWL reasoner evaluation (ORE) workshop brings together reasoner developers and
ontology engineers in order to discuss and evaluate the performance and robustness of …
ontology engineers in order to discuss and evaluate the performance and robustness of …
A conceptual modeling framework for business analytics
Data analytics is an essential element for success in modern enterprises. Nonetheless, to
effectively design and implement analytics systems is a non-trivial task. This paper proposes …
effectively design and implement analytics systems is a non-trivial task. This paper proposes …
An empirically-based framework for ontology modularisation
Modularity is being increasingly used as an approach to solve for the information overload
problem in ontologies. It eases cognitive complexity for humans, and computational …
problem in ontologies. It eases cognitive complexity for humans, and computational …
OntoDTA: Ontology-guided decision tree assistance
K Benali, SA Rahal - Journal of Information & Knowledge …, 2017 - World Scientific
The effective application of a Decision Tree (DT) process is beset with many difficult and
technical decisions about the choice of algorithms, parameters, evaluation, etc. Therefore …
technical decisions about the choice of algorithms, parameters, evaluation, etc. Therefore …