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When I use the qualifier "scientific", I do not mean Data Mining that is done within the context of academic research as opposed to a business context. I find both application fields equally interesting and important and the current research practive in Data Mining does both a disservice, in my opinion.
I also do not mean Data Mining that is only performed on data that have been generated in a scientific context. The difference to the preceding paragraph may not be obvious but mining scientific data and using the results for business purposes would be possible, and scientific data might be cleaner/easier to handle than data collected in a business context.
The goal I would like to achieve instead consists of performing Data Mining research itself scientifically since this is something we are currently not doing. This will include reproducing published results, verifying the output of Data Mining methods, periodically re-evaluating existing methods, and giving guarantees and practical guidance to Data Mining users of all kinds. Or, as I like to call it
I also do not mean Data Mining that is only performed on data that have been generated in a scientific context. The difference to the preceding paragraph may not be obvious but mining scientific data and using the results for business purposes would be possible, and scientific data might be cleaner/easier to handle than data collected in a business context.
The goal I would like to achieve instead consists of performing Data Mining research itself scientifically since this is something we are currently not doing. This will include reproducing published results, verifying the output of Data Mining methods, periodically re-evaluating existing methods, and giving guarantees and practical guidance to Data Mining users of all kinds. Or, as I like to call it
研究兴趣
论文共 72 篇作者统计合作学者相似作者
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DSpp.599-613, (2023)
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PAKDD (1)pp.252-263, (2023)
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Advances in Intelligent Data Analysis XXI (2023): 208-221
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Etienne Lehembre, Johanna Giovannini,Damien Geslin,Alban Lepailleur,Jean-Luc Lamotte,David Auber,Abdelkader Ouali,Bruno Cremilleux,Albrecht Zimmermann,Bertrand Cuissart,Ronan Bureau
Journal of Cheminformaticsno. 1 (2023): 116-116
Proceedings of the 9th International Performance Analysis Workshop and Conference & 5th IACSS ConferenceAdvances in Intelligent Systems and Computingpp.13-17, (2022)
International Symposium on Intelligent Data Analysis (IDA) (2022): 185-198
Etienne Lehembre,Jean Luc Lamotte, Christophe Couronne,Bruno Crémilleux, Jean-Luc Manguin,Bertrand Cuissart,Abdelkader Ouali,Albrecht Zimmermann
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