Mining in Hepatitis Data by LISp-Miner and SumatraTT

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F05%3A00115978" target="_blank" >RIV/68407700:21230/05:00115978 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Mining in Hepatitis Data by LISp-Miner and SumatraTT

Popis výsledku v původním jazyce

The paper suggests a methodology for search of temporal patterns, which is tested on the problem of difference between hepatitis B and C. To reach this goal two software systems LISp-Miner and SumatraTT are combined -- sophisticated data transformationsand enhancements are designed and ensured through SumatraTT while LISp-Miner takes care for the search of significant interesting differences in the resulting datasets. The main obtained results are reviewed in the section SD4ft-Patterns -- there are identified some examinations the values of which significantly differ for both types of attributes. This proves that the suggested general methodology has promising potential when applied to the considered type of data. A plan for additional data-mining questions to be studied later is presented in the Conclusions.

Název v anglickém jazyce

Mining in Hepatitis Data by LISp-Miner and SumatraTT

Popis výsledku anglicky

The paper suggests a methodology for search of temporal patterns, which is tested on the problem of difference between hepatitis B and C. To reach this goal two software systems LISp-Miner and SumatraTT are combined -- sophisticated data transformationsand enhancements are designed and ensured through SumatraTT while LISp-Miner takes care for the search of significant interesting differences in the resulting datasets. The main obtained results are reviewed in the section SD4ft-Patterns -- there are identified some examinations the values of which significantly differ for both types of attributes. This proves that the suggested general methodology has promising potential when applied to the considered type of data. A plan for additional data-mining questions to be studied later is presented in the Conclusions.

Druh

O - Ostatní výsledky

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

<a href="/cs/project/GA201%2F05%2F0325" target="_blank" >GA201/05/0325: Nové metody a nástroje pro dobývání znalostí z databází</a><br>

Návaznosti

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

Rok uplatnění

2005

Kód důvěrnosti údajů

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