Background: In the context of Warehouse Management Systems, knowledge related to
motion trajectory prediction methods utilizing machine learning techniques seems to be …

This paper presents a system to collect information through the cooperation of intelligent
agent software. In addition, the system also provides warnings after analysis to monitor and …

The increasing availability of small-size sensor devices during the last few years and the
large amount of data that they generate has led to the necessity for more efficient methods …

One of the problems that hinders large scale network management tasks is the number of
possible heterogeneous data sources that provide network information and how to focus on …

The goal of this paper is to demonstrate the importance of using knowledge management
and data mining for supporting marketing decisions. It shows how the data mining …

This paper presents a new network management system with ontology-supported multi-
agent techniques. This technique derived from the ontology combining with related free …

Ontology has played a significant role in various domains for the organization of computer-
managed knowledge in recent years. Ontology is used to organize and classify objects in …

In this Chapter, we focus on dealing with data originating from sensor data streams, in order
to materialize an intelligent, semantically-enabled data layer. First, we introduce the …

Os primeiros trabalhos relacionados com o uso de ontologias na mineração de dados é
datada do início do ano de 2000. Desde então, diversos estudos têm sido feitos sobre como …

All enterprise has a crucial role to play proficiently and productively to maintain its survival in
the market and increase its profitability shares. This challenge becomes more complicated …