Titlebook: Business Information Systems; 21st International C Witold Abramowicz,Adrian Paschke Conference proceedings 2018 Springer International Publ

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https://doi.org/10.1007/978-3-319-23087-0pose a machine learning-based system that automatically feeds back insights about failure rates from the quality assurance and return processes into the design process, without the need for any manual data analysis. As we show in a case study, this system helps to assure product quality in a preventive way.

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Conference proceedings 2018y 2018.  The BIS conference follows popular research trends, both in the academic and the business domain. Thus the theme of BIS 2018 was "Digital Transformation - An Imperative in Today‘s Business Markets". ..The 30 papers presented in this volume were carefully reviewed and selected from 96 submis

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Business Information Systems978-3-319-93931-5Series ISSN 1865-1348 Series E-ISSN 1865-1356

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https://doi.org/10.1007/978-3-319-23087-0 modeling over textual data use the bag-of-words model, i.e. only consider words in the documents. In our previous work we developed a framework for mining enriched topic models. We proposed a bag-of-features approach, where a document consists not only of words but also of linked named entities and

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https://doi.org/10.1007/978-3-319-23087-0ck to decisions early in the design process they are often not discovered until much later during quality checks or, at worst, by the customer. We propose a machine learning-based system that automatically feeds back insights about failure rates from the quality assurance and return processes into t