Veylepšené algoritmy inspirované mravenčími koloniemi při zpracování biomedicínských dat

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Improved Ant Colony Inspired Algorithms in Biomedical Data Processing

Popis výsledku v původním jazyce

In the present time, biomedical data processing is an important step in the process of diagnostics, prevention and healthcare in the physicians work. The goal of this work is to help the physicians to cope with long-term biomedical data. In present time,many optimization, classification and data processing methods are inspired by nature. This paper reviews most recent advances on the field of ant colony inspired clustering. With constantly growing datasets needed to be processed, there is a significantneed to study and implement robust and effective methods for processing such datasets. Thus, improved methods are presented and evaluated on long-term ECG data recordings. Paper also concentrates on the drawbacks and advantages of the methods. This paper also presents and evaluates novel method called ACO_DTree for classification tree generation and their evolution inspired by natural processes.

Název v anglickém jazyce

Improved Ant Colony Inspired Algorithms in Biomedical Data Processing

Popis výsledku anglicky

In the present time, biomedical data processing is an important step in the process of diagnostics, prevention and healthcare in the physicians work. The goal of this work is to help the physicians to cope with long-term biomedical data. In present time,many optimization, classification and data processing methods are inspired by nature. This paper reviews most recent advances on the field of ant colony inspired clustering. With constantly growing datasets needed to be processed, there is a significantneed to study and implement robust and effective methods for processing such datasets. Thus, improved methods are presented and evaluated on long-term ECG data recordings. Paper also concentrates on the drawbacks and advantages of the methods. This paper also presents and evaluates novel method called ACO_DTree for classification tree generation and their evolution inspired by natural processes.

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2008

Kód důvěrnosti údajů

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

Název statě ve sborníku

Advaced Topics in Scattering and Biomedical Engineering

ISBN

978-981-281-484-5

ISSN

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e-ISSN

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Počet stran výsledku

8

Strana od-do

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Název nakladatele

World Scientific

Místo vydání

Singapore

Místo konání akce

Lefkada

Datum konání akce

28. 9. 2007

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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