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Extracting Knowledge and Computable Models from Data - Needs, Expectations, and Experience ¨ Thomas Natschlager, Felix Kossak, and Mario Drobics Software Competence Center Hagenberg, A-4232 Hagenberg, Austria
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Document Date: 2014-11-21 04:06:25


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City

Hagenberg / New York / Vancouver / Champaign / Linz / /

Company

Plenum Press / Wolfram Research Inc. / AMS Engineering Sticht GmbH / engineering Sticht GmbH / Software Competence Center Hagenberg GmbH / FS-FOIL / Microsoft / SCA Graphic Laakirchen AG / /

Country

Tunisia / Austria / /

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IndustryTerm

transportation belt / machine learning algorithms / applied machine learning tools / neural networks / intelligent data analysis tools / real time / machine learning tools / transport module processing module flow / industrial manufacturing / intelligent data analysis tool / particular applications / distinct algorithms / unsupervised learning algorithms / model-generating algorithms / easyto-use tools / intensive algorithms / industrial applications / graphical manipulation tools / multi-sensor measurement systems / online visualization quality control trend analysis fault detection / manufacturing / learning algorithm / learning tools / learning algorithms / /

Organization

U.S. Securities and Exchange Commission / World Congress / /

Person

Felix Kossak / Thomas Natschlager / J. H. Ward Jr. / /

Position

FS-MINER / co-operative / /

Product

Mathematica / A-4232 Hagenberg / /

ProgrammingLanguage

Mathematica / XML / C++ / /

ProvinceOrState

Upper Austria / Illinois / New York / /

PublishedMedium

Machine Learning / /

Technology

Unsupervised Analysis Clustering algorithms / XML / machine learning algorithms / computationally intensive algorithms / Fuzzy Objective Function Algorithms / machine learning / speed All algorithms / learning algorithm / model-generating algorithms / fuzzy logic / unsupervised learning algorithms / GUI / /

URL

www.wolfram.com / http /

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