整顿
发表于 2025-3-23 09:49:43
Interaction of Light with Matter,tion is very time-consuming when carried out manually. In this chapter, we discuss an automated method to identify, assess and aggregate relevant information from large unstructured datasets to build fragments of BNs.
发炎
发表于 2025-3-23 14:29:24
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Optometrist
发表于 2025-3-23 19:00:25
https://doi.org/10.1007/978-1-4612-5671-7cardiac arrhythmia. In particular, this is based on large unstructured data sets in the form of scientific papers focusing on cardiology. The information extracted is subsequently combined with expert knowledge, as well as experimental data, to provide a robust, scalable and accurate system. The eva
lobster
发表于 2025-3-23 22:10:30
Further Development of the Kalman Filter, management of interactions and the boosting of social capital in large organisations. As with the majority of social software, our platform requires a large scale of data to be consumed, processed and exploited for the generation of its automated social networks. The platforms purpose is to reduce
spinal-stenosis
发表于 2025-3-24 04:02:43
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周兴旺
发表于 2025-3-24 10:31:23
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llibretto
发表于 2025-3-24 13:14:47
Role and Importance of Semantic Search in Big Data Governanceth insights yet undreamed of. However, only if we are able to organize and arrange this deluge of variety according into something meaningful to us, we can expect new insights and thus benefit from Big Data. This chapter demonstrates that text analysis is essential for Big Data governance. However,
Insensate
发表于 2025-3-24 14:52:39
Multimedia Big Data: Content Analysis and Retrievaledia big data in an efficient and scalable way. We outline examples of the use of the MapReduce framework, including Hadoop, which has become the most common approach to a truly scalable and efficient framework for common multimedia processing tasks, e.g., content analysis and retrieval. We also exa
期满
发表于 2025-3-24 22:30:33
Integrating Twitter Traffic Information with Kalman Filter Models for Public Transportation Vehicle e. This paper proposes a model of bus arrival time prediction, which aims to improve arrival time accuracy. This model is intended to function as a preprocessing stage to handle real-world input data in advance of further processing by a Kalman filtering model; as such, the model is able to overcome
蛰伏
发表于 2025-3-25 01:56:16
Data Science and Big Data Analytics at Career Buildersumes and job postings, such matching analytics involve several Big Data challenges. At CareerBuilder, we tackle these challenges by (i) classifying large datasets of job ads and job seeker resumes to occupation categories and (ii) providing a scalable framework that facilitates executing web servic