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Data Mining und Big Data Analytics : semantische Suche, Prognose und Entscheidungsunterstützung mit Künstlichen Neuronalen Netzen

Gleue, Christoph (Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2019)

Diese kumulative Dissertation ist eine Zusammenfassung und kritische Reflexion von insgesamt sechs wissenschaftlichen Publikationen, an denen ich als Autor beteiligt war. Das übergeordnete Ziel dieser Arbeit ist die Analyse ...
Evolutionary Approach for an Optimized Analysis of Product Life Cycle Data

Lachmayer, Roland; Mozgova, Iryna; Sauthoff, Bastian; Gottwald, Philipp (Amsterdam : Elsevier, 2014)

The application of life cycle data of smart products offers new opportunities for the product development process. Nowadays, products often consist of adaptive design variants of an existing product. Taking this into ...
Identification of Text Mining Use Cases In Manufacturing Companies

Clemens, Florian; Özdemir, Hasan Hüseyin; Schuh, Günther (Hannover : publish-Ing., 2023)

Manufacturing companies face the challenge of managing vast amounts of unstructured data generated by various sources such as social media, customer feedback, product reviews, and supplier data. Text-mining technology, a ...
Improving MRO order processing by means of advanced technological diagnostics and data mining approaches

Seitz, Melissa; Lucht, Torben; Keller, Christian; Ludwig, Christian; Strobelt, Rainer; Nyhuis, Peter (Amsterdam [u.a.] : Elsevier, 2020)

Production planning based on uncertain load information may lead to low schedule adherence or low capacity utilization. Thus, maintenance, repair and overhaul (MRO) service providers are striving to improve their business ...
Proceedings of the Conference on Production Systems and Logistics : CPSL 2023 - 2

Herberger, David; Hübner, Marco (Hannover : publish-Ing., 2023)

[No abstract available]
Towards a Data-driven Performance Management in Digital Shop Floor Management

Longard, Lukas; Bardy, Sebastian; Metternich, Joachim (Hannover : publish-Ing., 2022)

Key performance indicators (KPIs) are crucial for measuring and managing the performance of industrial processes. They are used to detect deviations in processes, enabling opportunities to improve manufacturing processes ...

Now showing items 1-6 of 6

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Browsing by Subject "Data Mining"

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