Research literature clustering using diffusion maps |
| |
| Authors: | Paavo Nieminen Ilkka Pölönen Tuomo Sipola |
| |
| Institution: | Department of Mathematical Information Technology, University of Jyväskylä, P.O. Box 35 (Agora), FI-40014, Finland |
| |
| Abstract: | 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. |
| |
| Keywords: | Knowledge discovery process Literature mapping Data mining Clustering Diffusion map |
| 本文献已被 ScienceDirect 等数据库收录！ |
