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Article . 2016
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Data Analysis Based On Data Mining Algorithms Using Weka Workbench

Authors: Layla Safwat Jamil*;

Data Analysis Based On Data Mining Algorithms Using Weka Workbench

Abstract

In this paper, machine learning algorithms and artificial neural networks classification from instances in the breast cancer data set are applied by Weka (Data Mining Workbench). The data set were donated in 1988. This is one of three domains provided by the Oncology Institute that has repeatedly appeared in the machine learning literature. The different algorithms and their results were compared with received calculations on Weka.

Keywords

artificial neural networks, machine learning algorithms, breast cancer data set, Weka, classification

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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