Stromy v data miningu

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13510%2F08%3A00004265" target="_blank" >RIV/44555601:13510/08:00004265 - 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

Data mining methods with trees

Popis výsledku v původním jazyce

Data often can't be analysed by using standard statistical methods because they contain many missing figures or are in qualitative units, and because some databases are in very wide usage. Each organization must be able to extract important information from an extensive database. These were the main reasons why data mining was initiated. Tree structures are used in many diverse areas. Tree structures are frequently used in statistical data analysis, particularly in data mining. This paper describes decision trees, their data structure and their implementation in statistical data analysis. Decision trees offer a non-algebraic method for partitioning data. Using decision trees is attractive because they offer visualization, simplicity of interpretation and high accuracy.

Název v anglickém jazyce

Data mining methods with trees

Popis výsledku anglicky

Data often can't be analysed by using standard statistical methods because they contain many missing figures or are in qualitative units, and because some databases are in very wide usage. Each organization must be able to extract important information from an extensive database. These were the main reasons why data mining was initiated. Tree structures are used in many diverse areas. Tree structures are frequently used in statistical data analysis, particularly in data mining. This paper describes decision trees, their data structure and their implementation in statistical data analysis. Decision trees offer a non-algebraic method for partitioning data. Using decision trees is attractive because they offer visualization, simplicity of interpretation and high accuracy.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

AH - Ekonomie

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2008

Kód důvěrnosti údajů

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

Název periodika

E+M. Ekonomie a Management

ISSN

1212-3609

e-ISSN

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Svazek periodika

1/XL

Číslo periodika v rámci svazku

1/2008

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

6

Strana od-do

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Kód UT WoS článku

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EID výsledku v databázi Scopus

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