Inducing decision trees via concept lattices
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F08%3A00005379" target="_blank" >RIV/61989592:15310/08:00005379 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Inducing decision trees via concept lattices
Original language description
The paper presents a new machine learning method of decision tree induction based on formal concept analysis (FCA). FCA is a data mining technique the output of which is a hierarchical structure of clusters extracted from data describing objects by attributes. The decision tree is derived using the structure of clusters (called concept lattice). The idea behind is to look at a concept lattice as a collection of overlapping trees. The main purpose of the paper is to explore the possibility of using FCA in the problem of decision tree induction. We present our method and provide comparisons with selected methods of decision tree induction and machine learning on testing datasets.
Czech name
Indukce rozhodovacích stromů skrze konceptuální svazy
Czech description
Článek prezentuje novou machine learning metodu indukce rozhodovacích stromů založenou na formální konceptuální analýze (FCA). Rozhodovací strom je odvozen z konceptuálního svazu, na který je nahlíženo jako na kolekci překrývajících se stromů. Hlavní cílčlánku je prozkoumat možnost použití FCA v problému indukce rozhodovacích stromů.
Classification
Type
D - Article in proceedings
CEP classification
BD - Information theory
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Cybernetics and Systems 2008: Proceedings of the 19th European Meeting on Cybernetics and Systems Research
ISBN
978-3-85206-175-7
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
Austrian Society for Cybernetics Studies
Place of publication
Wien
Event location
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Event date
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Type of event by nationality
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UT code for WoS article
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