dc.contributor.author |
Priyabashitha, LP |
|
dc.contributor.author |
Amarasinghe, AAB |
|
dc.contributor.author |
Vithana, MSG |
|
dc.contributor.author |
Gunarathne, APDSK |
|
dc.contributor.editor |
Gunasekara, C |
|
dc.contributor.editor |
Wijegunawardana, P |
|
dc.contributor.editor |
Pavalanathan, U |
|
dc.date.accessioned |
2022-12-06T06:15:49Z |
|
dc.date.available |
2022-12-06T06:15:49Z |
|
dc.date.issued |
2010-09 |
|
dc.identifier.citation |
****** |
en_US |
dc.identifier.uri |
http://dl.lib.uom.lk/handle/123/19684 |
|
dc.description.abstract |
Information plays such an important role in
almost every human life. We have plenty of data available
and for the most effective and efficient use, we need to
extract information from them. Data classification
to the top in that scenario, where it will indicate its value
in terms of business assets. For the problems exist in
classification field, such as data mining and other third
party applications which involve classifications/predictions
in their domains, use their own procedures of classifying
the data available, hence slowing down the efficiency due
to increase of development time which ultimately results in
high development cost. Thisara addresses the above issue
by providing a common platform for the classification
problems to be implemented upon, without worrying
about the underlying complexity of the application, hence
reduce bulkiness and provides a stable framework which
offers a high performance in real time operation of
classifications. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Computer Science & Engineering Society c/o Department of Computer Science and Engineering, University of Moratuwa. |
en_US |
dc.subject |
Clustering |
en_US |
dc.subject |
Classification |
en_US |
dc.subject |
Normalization |
en_US |
dc.subject |
GA Optimization |
en_US |
dc.title |
Thisara - ga optimized nearest neighbor classification framework |
en_US |
dc.type |
Conference-Full-text |
en_US |
dc.identifier.faculty |
Engineering |
en_US |
dc.identifier.department |
Department of Computer Science and Engineering |
en_US |
dc.identifier.year |
2010 |
en_US |
dc.identifier.conference |
CS & ES Conference 2010 |
en_US |
dc.identifier.place |
Moratuwa. Sri Lanka |
en_US |
dc.identifier.pgnos |
pp. 71-77 |
en_US |
dc.identifier.proceeding |
Proceedings of the CS & ES Conference 2010 |
en_US |