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Decision Trees Learning System

Authors: Maciej Paliwoda;

Decision Trees Learning System

Abstract

This paper describes computer system — Decision Trees Learning System (DTLS) that was developed as a main part of the Master Thesis: “Implementation of the algorithms of learning decision trees, working on any SQL compatible database”. Developed System is friendly, credible environment for searching and modeling knowledge stored in databases, using decision tree methodology. DTLS provides support for three most popular decision tree algorithms: C4.5, ID3 and CART. System also supports few variants of discretization for continuous attributes.

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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