Comparing Rule Mining Approaches for Classification with Reasoning

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F18%3A00494114" target="_blank" >RIV/67985807:_____/18:00494114 - isvavai.cz</a>

Result on the web

<a href="http://ceur-ws.org/Vol-2203/52.pdf" target="_blank" >http://ceur-ws.org/Vol-2203/52.pdf</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Comparing Rule Mining Approaches for Classification with Reasoning

Original language description

Classification serves an important role in domains such as network security or health care. Although these domains require understanding of the classifier’s decision, there are only a few classification methods trying to justify or explain their results. Classification rules and decision trees are generally considered comprehensible. Therefore, this study compares the classification performance and comprehensibility of a random forest classifier with classification rules extracted by Frequent Item Set Mining, Logical Item Set Mining and by the Explainer algorithm, which was previously proposed by the authors.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/GA17-01251S" target="_blank" >GA17-01251S: Metalearning for Extraction of Rules with Numerical Consequents</a><br>

Continuities

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

Publication year

2018

Confidentiality

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

Article name in the collection

ITAT 2018: Information Technologies – Applications and Theory. Proceedings of the 18th conference ITAT 2018

ISBN

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ISSN

1613-0073

e-ISSN

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Number of pages

7

Pages from-to

52-58

Publisher name

Technical University & CreateSpace Independent Publishing Platform

Place of publication

Aachen

Event location

Plejsy

Event date

Sep 21, 2018

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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