Ant-inspired Algorithms for Decision Tree Induction

Result code in 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>
Result on the web
<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>

Result language
angličtina
Original language name
Ant-inspired Algorithms for Decision Tree Induction
Original language description
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.
Czech name
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Czech description
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Project
<a href="/en/project/NV15-31398A" target="_blank" >NV15-31398A: Features of Electromechanical Dyssynchrony that Predict Effect of Cardiac Resynchronization Therapy</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Information Technology in Bio- and Medical Informatics
ISBN
978-3-319-22740-5
ISSN
0302-9743
e-ISSN
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Number of pages
12
Pages from-to
95-106
Publisher name
Springer
Place of publication
Heidelberg
Event location
Valencia
Event date
Sep 3, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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