Simplified Progressive Data Mining

Result code in 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>

Alternative codes found

RIV/00216305:26230/07:PU73636

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Simplified Progressive Data Mining

Original language description

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

Czech name

Zjednodušené progresivní dolování dat

Czech description

V současné době je obtížné se rozhodovat na základě dat z velkých databází. My nabízíme OLAM SE (Self Explaining On-Line Analytical Mining) pro uživatele, kteří nejsou zběhlí v technikách dolování dat. Principem zjednodušení je ukrytí interních konceptů(asociace, klasifikace, charakterizace) a nezbytných prahů (podpora a spolehlivost) v kombinaci s jednoduchým uživatelským rozhraním.<br>

Type

D - Article in proceedings

CEP classification

JC - Computer hardware and software

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2007

Confidentiality

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

Article name in the collection

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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Number of pages

10

Pages from-to

378-387

Publisher name

Wroclaw University of Technology

Place of publication

Wroclaw

Event location

Wroclaw

Event date

Sep 4, 2007

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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