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Titlebook: Big Data Analytics and Knowledge Discovery; 22nd International C Min Song,Il-Yeol Song,Ismail Khalil Conference proceedings 2020 Springer N

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樓主: miserly
11#
發(fā)表于 2025-3-23 09:50:06 | 只看該作者
12#
發(fā)表于 2025-3-23 15:44:19 | 只看該作者
Create Solutions Using Chatbots,HANDLE’s feasibility through the application to an exemplary access-use-case and a prototypical implementation. A comparison with existent models yields that HANDLE can reflect the same information and provides additional capabilities needed for metadata management in data lakes.
13#
發(fā)表于 2025-3-23 18:52:24 | 只看該作者
14#
發(fā)表于 2025-3-24 00:57:11 | 只看該作者
Operating Azure Kubernetes Service, and persist over varying periods of time. An algorithm named . (.) is proposed and applied to real datasets. To achieve an efficient solution, HUIPMiner is augmented with a pruning strategy. Experimental results show that HUIPMiner is an effective solution to the problem of mining high utility inte
15#
發(fā)表于 2025-3-24 06:13:15 | 只看該作者
https://doi.org/10.1007/978-1-4842-7927-4mentally prove our solution ensures a balanced data distribution, and hence workload, among machines. The key idea behind the algorithm is to evenly partition all possible triplets of vertices among machines, sending edges that may form a triangle to a proxy machine; this edge redistribution elimina
16#
發(fā)表于 2025-3-24 07:36:28 | 只看該作者
17#
發(fā)表于 2025-3-24 13:17:15 | 只看該作者
18#
發(fā)表于 2025-3-24 18:31:50 | 只看該作者
19#
發(fā)表于 2025-3-24 20:08:10 | 只看該作者
Cyber-Physical Systems Project,sent the time series. E-SAX has exactly the same simplicity and efficiency of the original SAX, yet it gives better results in time series classification than the original SAX, as we show in extensive experiments on a variety of time series datasets.
20#
發(fā)表于 2025-3-25 00:42:29 | 只看該作者
Reverse Engineering Approach for NoSQL Databasesaper, we aim to extend this work to achieve a reverse engineering of NoSQL databases in order to provide an element of semantic knowledge close to human understanding. The reverse engineering process is ensured by a set of transformation algorithms. We provide experiments of our approach using a case study taken from the medical field.
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