Zjednodušené progresivní dolování dat

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F07%3APU70875" target="_blank" >RIV/00216305:26230/07:PU70875 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216305:26230/07:PU73636

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Simplified Progressive Data Mining

Popis výsledku v původním jazyce

There are huge amounts of data stored in databases, but it is very difficult to make decisions based on this data. We propose the OLAM SE system (Self Explaining On-Line Analytical Mining) that is similar to the Han's OLAM [5] in the idea of interactivedata mining. The contribution is to simplify on-line analytical data mining to professionals, who understand their data but want more significant, interesting and useful information. It is done by shielding internal concepts (associations, classifications, characterizations) and thresholds (supports, confidences) from the user and by a simple graphical interface that suggests most relevant items. <p>OLAM SE determines minimum support value from required cover of data with usage of entropy coding principle. This is automatically applied on the structure based on given conceptual hierarchy where present. We also determine the maximum threshold to avoid explaining knowledge that is obvious. Major part of data is thus described by frequent

Název v anglickém jazyce

Simplified Progressive Data Mining

Popis výsledku anglicky

There are huge amounts of data stored in databases, but it is very difficult to make decisions based on this data. We propose the OLAM SE system (Self Explaining On-Line Analytical Mining) that is similar to the Han's OLAM [5] in the idea of interactivedata mining. The contribution is to simplify on-line analytical data mining to professionals, who understand their data but want more significant, interesting and useful information. It is done by shielding internal concepts (associations, classifications, characterizations) and thresholds (supports, confidences) from the user and by a simple graphical interface that suggests most relevant items. <p>OLAM SE determines minimum support value from required cover of data with usage of entropy coding principle. This is automatically applied on the structure based on given conceptual hierarchy where present. We also determine the maximum threshold to avoid explaining knowledge that is obvious. Major part of data is thus described by frequent

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

2007

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 16th International Conference on Systems Science

ISBN

978-83-7493-340-7

ISSN

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e-ISSN

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Počet stran výsledku

10

Strana od-do

378-387

Název nakladatele

Wroclaw University of Technology

Místo vydání

Wroclaw

Místo konání akce

Wroclaw

Datum konání akce

4. 9. 2007

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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