Author(s): A. A. Motta, A. S. Alves & N. F. F. Ebecken
The discovery of knowledge in databases has gained great importance and
interest in recent years, especially in strategical areas where the access to the
information is restricted many times.
There has been a substantial growth in the amount of stored information in
digital media, mainly due to its increasing easiness and cost reduction.
the large amount of stored data becomes impracticable for specialists to analyze
through conventional methods.
The difficulty for a more accurate analysis of
these data means they may become accumulated useless information.
other hand, it is known that in large amounts of data an enormous potential of
extractable information can exist.
This work presents the application of a data mining tool in military databases.
A case study is shown where the mining of rules of association and classification
capable of finding useful information for the improvement of an anti-missile
system in ships was carried out.
The results show that the methodology reached its main objectives, that is,
rules were generated from large databases.
However, it is important to remember
that the generation of these rules represents only the initial stage of the system
improvement with the use of data mining.
data mining, association rules, classification rules, anti-missile
The finding of new knowledge from a mass of operational data is only possible if
it is analyzed in a joint form.
The large amount of stored data can make it
impracticable for specialists to analyze them through conventional methods.
Size: 528 kb
Paper DOI: 10.2495/CBAL070161
the Full Article
This article is part of the WIT OpenView scheme and you can download the full text Adobe PDF article for FREE by clicking the 'Openview' icon below.
this page to a colleague.