Statistical, Logic-Based, and Neural Networks Based Methods for Mining Rules from Data.

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F02%3A06020011" target="_blank" >RIV/67985807:_____/02:06020011 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Statistical, Logic-Based, and Neural Networks Based Methods for Mining Rules from Data.

Original language description

In the paper, a survey of the most important data mining approaches is given, and an integrative framework based on observational logic is described. Basic notions pertaining to the calculus of observational logic are explained, and it is shown how the calculus allows to capture data mining based on statistical hypotheses testing and on two approaches to the extraction of rules from data with artificial neural networks.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

BA - General mathematics

OECD FORD branch

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Project

<a href="/en/project/IAB2030007" target="_blank" >IAB2030007: Neuroinformatics: computational theory of neural networks</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2002

Confidentiality

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

Article name in the collection

Multisensor Fusion.

ISBN

1-4020-0722-1

ISSN

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e-ISSN

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Number of pages

22

Pages from-to

511-532

Publisher name

Kluwer Academic Publishers

Place of publication

Dordrecht

Event location

Pitlochry [GB]

Event date

Jun 25, 2000

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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