Výsledky vyhledávání - "Matthias Lederer"

Autor: Vanessa Keppeler, Matthias Lederer, Ulli Alexander Leucht

Publikováno v: Encyclopedia of Data Science and Machine Learning ISBN: 9781799892205

The explainability of artificial intelligence (AI) is one of the central challenges for the wider use of the new technology in many industries and applications. The more powerful and efficient the algorithms of AI work, the less it is usually compreh

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::31a9fe153dd57b897bf6ed039d38c18b
https://doi.org/10.4018/978-1-7998-9220-5.ch100

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The Current State of Big Data Research in Tourism: Results of a Systematic Literature Analysis

Autor: Matthias Lederer, Kim Hartmann

Publikováno v: Zeitschrift für Tourismuswissenschaft. 13:209-226

The use of large and diverse data in real time (called Big Data) affects many business processes and models. The tourism industry, characterized by manifold sub-sectors and players, provides a variety of starting points for Big Data usage. Examples a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6493e9071cf21120c2fcb6be7035f66
https://doi.org/10.1515/tw-2021-0015

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Practice-Integrated Teaching at Universities of Applied Sciences

Autor: Matthias Lederer, Silke Finken

What is special about the German-speaking education system is that there are two types of higher education institutions. While classical universities do academic teaching, so-called universities of applied sciences (UAS) focus more on practical train

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7f390aff1414bd7668db86be219f7322
https://doi.org/10.4018/978-1-6684-4441-2.ch007

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Case-based reasoning for complexity management in Industry 4.0

Autor: Freimut Bodendorf, Peter Schott, Isabella Eigner, Matthias Lederer

Publikováno v: Journal of Manufacturing Technology Management. 31:999-1021

PurposeIncreasingly, dynamic market environments lead to growing complexity in manufacturing and pose a severe threat for the competitiveness of manufacturing companies. Systematic guidance to manage this complexity, especially in the context of Indu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::96ce73ef43c30497824035f65de45cdd
https://doi.org/10.1108/jmtm-08-2018-0262

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Data Science Techniques in Knowledge-Intensive Business Processes

Autor: Matthias Lederer, Joanna Riedl

Publikováno v: International Journal of Data Analytics. 1:52-67

The processes of an investment bank are considered to be particularly knowledge-intensive, because analysts need to extract or generate relevant knowledge from a variety of data. With increasing digitization, modern data science and business intellig

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::799062a96cc8fe6edef739b77a18b3a0
https://doi.org/10.4018/ijda.2020010104

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