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Titlebook: Big Data Applications and Use Cases; Patrick C. K. Hung Book 2016 Springer International Publishing Switzerland 2016 Big data architecture

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樓主: PED
21#
發(fā)表于 2025-3-25 06:56:03 | 只看該作者
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發(fā)表于 2025-3-25 09:39:47 | 只看該作者
23#
發(fā)表于 2025-3-25 11:55:41 | 只看該作者
24#
發(fā)表于 2025-3-25 19:18:05 | 只看該作者
Automatic Speech and Singing Discrimination for Audio Data Indexing,t voice recordings into MIDI note sequences and then use bigram models to analyze the dynamic change information of the notes. Our experiments, conducted using a database including 600 test recordings from 20 subjects, show that the proposed system can achieve 94.3?% accuracy.
25#
發(fā)表于 2025-3-25 23:19:04 | 只看該作者
Partial Differential Equations,g data, there becomes more concern for individuals’ privacy. To mitigate these potential risks, policies have been put into place such as the Personal Information Protection and Electronic Documents Act (PIPEDA). Furthermore, due to the nature of the technologies within the Internet of Things (IoT),
26#
發(fā)表于 2025-3-26 02:49:10 | 只看該作者
27#
發(fā)表于 2025-3-26 05:19:04 | 只看該作者
https://doi.org/10.1007/0-387-34228-1 mining in document-based NoSQL systems. In this chapter, we provide comprehensive views about the performance of several algorithms that have been employed to achieve the topics and terms mining tasks. This chapter is a reproduction of several proposed algorithms which can enable the software engin
28#
發(fā)表于 2025-3-26 10:37:15 | 只看該作者
Systems of Ordinary Differential Equations,centralized service to different communities of inter-disciplinary scientists, which inspires us to develop a SaaS (Software as a Service) cloud for scientific virtual laboratory named VLAB-C. VLAB-C provides three key features: (1) the ability of high performance on massive data processing and larg
29#
發(fā)表于 2025-3-26 15:40:48 | 只看該作者
Ordinary Differential Equations,nt of data stream. The drawback of the optimization is the heavy consumption of time. To relieve this limitation, a loss function is proposed to look ahead for the occurrence of concept-drift which is one of the main causes of performance deterioration in data mining model. Optimization is skipped i
30#
發(fā)表于 2025-3-26 18:13:15 | 只看該作者
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