Ant-inspired Algorithms for Decision Tree Induction

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F15%3A00234622" target="_blank" >RIV/68407700:21730/15:00234622 - isvavai.cz</a>

Výsledek na webu

<a href="http://link.springer.com/chapter/10.1007%2F978-3-319-22741-2_9" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-319-22741-2_9</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-22741-2_9" target="_blank" >10.1007/978-3-319-22741-2_9</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Ant-inspired Algorithms for Decision Tree Induction

Popis výsledku v původním jazyce

In this paper we present an evaluation of ant-inspired method called emph{ACO_DTree} over biomedical data. The algorithm maintains and evolves a population of decision trees induced from data. The core of the algorithm is inspired by the Min-Max Ant System. In order to increase the speed of the algorithm we have introduced a local optimization phase. The generalization ability has been improved using error based prunin g of the solutions. After parameter tuning, we have conducted experimental evaluation of the emph{ACO_DTree} method over the total of 32~different datasets versus 41~distinct classif iers. We conducted 10-fold crossvalidation and for each experiment obtained about 20~quantitative objective measures. The averaged and best-so-far values of the sel ected measures (precision, recall, f-measure, dots) have been statistically evaluated using Friedman test with Holm and Hochberg post-hoc procedures (on the levels of $alpha=0.05$ and $alpha=0.10$). The emph{ACO_DTree} algorithm performed significantly better ($alpha=0.05$) in 29~test cases for the averaged f-measure and in 14~cases for the best-so-far f-measure measure. The best results have been obtained for various subsets of the UCI database and for the dataset combining cardiotocography data and data of myocardial infarction.

Název v anglickém jazyce

Ant-inspired Algorithms for Decision Tree Induction

Popis výsledku anglicky

In this paper we present an evaluation of ant-inspired method called emph{ACO_DTree} over biomedical data. The algorithm maintains and evolves a population of decision trees induced from data. The core of the algorithm is inspired by the Min-Max Ant System. In order to increase the speed of the algorithm we have introduced a local optimization phase. The generalization ability has been improved using error based prunin g of the solutions. After parameter tuning, we have conducted experimental evaluation of the emph{ACO_DTree} method over the total of 32~different datasets versus 41~distinct classif iers. We conducted 10-fold crossvalidation and for each experiment obtained about 20~quantitative objective measures. The averaged and best-so-far values of the sel ected measures (precision, recall, f-measure, dots) have been statistically evaluated using Friedman test with Holm and Hochberg post-hoc procedures (on the levels of $alpha=0.05$ and $alpha=0.10$). The emph{ACO_DTree} algorithm performed significantly better ($alpha=0.05$) in 29~test cases for the averaged f-measure and in 14~cases for the best-so-far f-measure measure. The best results have been obtained for various subsets of the UCI database and for the dataset combining cardiotocography data and data of myocardial infarction.

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

<a href="/cs/project/NV15-31398A" target="_blank" >NV15-31398A: Charakteristiky elektromechanické dyssynchronie predikující efekt srdeční resynchronizační terapie</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Information Technology in Bio- and Medical Informatics

ISBN

978-3-319-22740-5

ISSN

0302-9743

e-ISSN

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Počet stran výsledku

12

Strana od-do

95-106

Název nakladatele

Springer

Místo vydání

Heidelberg

Místo konání akce

Valencia

Datum konání akce

3. 9. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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