多源科技文献数据的处理与挖掘

2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI) Pub Date : 2016-10-01 DOI:10.1109/IIKI.2016.89

Wen Zeng

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引用次数: 0

摘要

与传统的多源数据相比，科技文献的数据主要基于不同的科技文献。它们的内容更强调技术性和相关性。本文以科技期刊论文数据、专利数据和科技政策数据为例，阐述了多源科技文献数据的特点和数据处理方法。介绍了作者在多源科技文献数据处理与分析方面的研究工作。实验表明，本文提出的模型和方法具有一定的效果。探索多源科技文献的应用是必要的。

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Processing and Mining of Multi-source Scientific and Technical Literature Data

Compared with the traditional multi-source data, the data of scientific and technical literature are mainly based on different scientific and technological documents. Their contents are more emphasis on technical and correlation. The paper took the data of scientific and technical periodical papers, patent and scientific and technical policies as examples, described the characteristics of data about multi-source scientific and technical literature, the method of data processing. And it introduced the author's research work on data processing and analysis for multi-source scientific and technical literature. Experiments showed that proposed model and method in the paper had certain effect. It was necessary to explore the application of multi-source scientific and technical literature.

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2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)

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