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Research literature clustering using diffusion maps
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AI
DOI：10.1016/j.joi.2013.08.004.png)
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摘要
En 中文
We apply the knowledge discovery process to the mapping of current topics in a particular field of science. We are interested in how articles form clusters and what are the contents of the found clusters. A framework involving web scraping, keyword extraction, dimensionality reduction and clustering using the diffusion map algorithm is presented. We use publicly available information about articles in high-impact journals. The method should be of use to practitioners or scientists who want to overview recent research in a field of science. As a case study, we map the topics in data mining literature in the year 2011. (C) 2013 Elsevier Ltd. All rights reserved.
Keyword:
Knowledge discovery process
Literature mapping
Data mining
Clustering
Diffusion map
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.5
论文数:
1.6K
被引数:
7.9K
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