Recognition method is studied for such multi-source heterogeneous data as real number, interval number and natural language, novel linguistic recognition ...
Abstract—In order to solve the difficulties of multi-source heterogeneous data recognition in big data environment, a multi-source heterogeneous data ...
Recognition method is studied for such multi-source heterogeneous data as real number, interval number and natural language, novel linguistic recognition ...
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What is a heterogeneous data source?
Is defined as the heterogeneous data from multiple sources combined into a common source?
Multi-Source Heterogeneous Data Recognition Based on Linguistic Labels. C. Guo, Y. Chai, and C. Wang. CyberC, page 278-285. IEEE, (2016 ). 1. 1. Meta data.
The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their ...
This article proposes a multisource heterogeneous experimental data recognition method based on CRNN and DBNet in a cloud-edge collaborative environment in ...
Missing: Linguistic | Show results with:Linguistic
Sep 28, 2023 · We propose a complete process framework for constructing a knowledge graph that combines structured data and unstructured data.
Abstract: in the Context of Big Data, Combined with Deep Learning, This Paper Discusses the. Problem of Multi-Source Heterogeneous Image Data Fusion. Based ...
A multi-source heterogeneous data recognition algorithm based on linguistic labels based on grey relation theory multi-attribute recognition is proposed in ...
May 6, 2024 · This paper highlights the potential of Large Language Models (LLMs) to streamline data extraction and resolution processes.