开脱
发表于 2025-3-21 19:14:01
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开头
发表于 2025-3-21 20:46:03
Chapter 10 Case Study from the Energy Domainons of big data technologies in the energy domain is clear, and is thus the purpose of this chapter. An application of linked data and post-processing energy data has been covered, whilst a special focus has been put on the analytical services involved, concrete methodologies and their exploitation.
悲痛
发表于 2025-3-22 01:55:48
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STERN
发表于 2025-3-22 08:13:04
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PAC
发表于 2025-3-22 10:45:33
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重叠
发表于 2025-3-22 15:10:56
Book‘‘‘‘‘‘‘‘ 2020. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with i
联合
发表于 2025-3-22 19:35:52
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Efflorescent
发表于 2025-3-22 22:53:32
0302-9743 ocessing chain.This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizatio
EXCEL
发表于 2025-3-23 02:54:45
Chapter 5 Federated Query Processingery processing techniques provide a solution to scale up to large volumes of data distributed across multiple data sources. Federated query processing techniques resort to source descriptions to identify relevant data sources for a query, as well as to find efficient execution plans that minimize th
affinity
发表于 2025-3-23 08:08:37
Chapter 8 Context-Based Entity Matching for Big Data technique that relies on both the knowledge stated in RDF vocabularies and a context-based similarity metric to map contextually equivalent RDF graphs. COMET follows a two-fold approach to solve the problem of entity matching in RDF graphs in a context-aware manner. In the first step, COMET compute