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Titlebook: Machine Learning and Knowledge Extraction; Second IFIP TC 5, TC Andreas Holzinger,Peter Kieseberg,Edgar Weippl Conference proceedings 2018

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樓主: Defect
11#
發(fā)表于 2025-3-23 10:06:22 | 只看該作者
An Efficient Approach for Extraction Positive and Negative Association Rules from Big Dataver the whole database. As for the generating of interesting association rules, we introduce a new efficient technique, called .. Therefore, only half of the candidate rules have to be studied. Some experiments will be conducted into such reference databases to complete our study.
12#
發(fā)表于 2025-3-23 17:17:58 | 只看該作者
A Multi-device Assistive System for Industrial Maintenance Operationsich different interaction concepts would be advantageous. Therefore, in this paper, we propose a concept for a multi-device assistive system, which combines multiple devices to provide workers with relevant information over different subtasks of a maintenance operation and present our first prototype for such a system.
13#
發(fā)表于 2025-3-23 18:31:21 | 只看該作者
14#
發(fā)表于 2025-3-23 23:16:08 | 只看該作者
Conference proceedings 2018wledge Extraction, CD-MAKE 2018, held in Hamburg, Germany, in September 2018..The 25 revised full papers presented were carefully reviewed and selected from 45 submissions. The papers are clustered under the following topical sections: MAKE-Main Track, MAKE-Text, MAKE-Smart Factory, MAKE-Topology, a
15#
發(fā)表于 2025-3-24 05:41:32 | 只看該作者
16#
發(fā)表于 2025-3-24 08:42:51 | 只看該作者
Alireza Abdollahpouri,Shadi Rahimi,Shahnaz Mohammadi Majd,Chiman Salavati
17#
發(fā)表于 2025-3-24 11:28:53 | 只看該作者
18#
發(fā)表于 2025-3-24 16:51:56 | 只看該作者
Alexiei Dingli,Mark Bugeja,Dylan Seychell,Simon Mercieca
19#
發(fā)表于 2025-3-24 19:19:23 | 只看該作者
20#
發(fā)表于 2025-3-25 02:01:44 | 只看該作者
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