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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
31#
發(fā)表于 2025-3-26 23:00:37 | 只看該作者
32#
發(fā)表于 2025-3-27 02:47:44 | 只看該作者
Exploring the Feature Selection-Based Data Analytics Solutions for Text Mining Online Communities by by data mining techniques the relevant features that will help predict the quality of questions, and validate the reliability of the features using some of the state-of-the-art classification algorithms. The features to be obtained have to be significant in the sense that they can help Stack Overf
33#
發(fā)表于 2025-3-27 06:31:26 | 只看該作者
34#
發(fā)表于 2025-3-27 09:34:45 | 只看該作者
VLAB-C: Collaborative Virtual Laboratory in Cloud Computing and Its Applications,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
35#
發(fā)表于 2025-3-27 17:33:52 | 只看該作者
Self-Adaptive Parameters Optimization for Incremental Classification in Big Data Using Neural Netwont 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
36#
發(fā)表于 2025-3-27 19:23:50 | 只看該作者
37#
發(fā)表于 2025-3-27 22:41:17 | 只看該作者
Introduction to Big Data, and used to make decisions. There are three main characteristics associated with big data: volume, variety and velocity. There are many motivations for the adoption of big data; this data has remarkable potential to drive innovation, the economy, productivity and future growth. Big data analytics h
38#
發(fā)表于 2025-3-28 04:10:20 | 只看該作者
A Bloom Filter-Based Approach for Supporting the Representation and Membership Query of Multidimensnal dataset. The paper presents a novel data structure based on Bloom filter for the multidimensional data representation. We further give the theoretical analysis and experimental evaluations of the algorithm. Results show that the algorithm can achieve the same false positive rate when dealing wit
39#
發(fā)表于 2025-3-28 09:41:07 | 只看該作者
40#
發(fā)表于 2025-3-28 13:51:07 | 只看該作者
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