Journal of Information Technology Services (한국IT서비스학회지)

Korea Society of IT Services (한국IT서비스학회)
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The Analysis of the Conferences for the Computer Network Using the Miner and the Cosine Similarity based upon Keywords

키워드를 기반으로 마이너와 코사인 유사도를 이용한 컴퓨터 네트워크 관련 컨퍼런스 분석

  • 권영빈 (중앙대학교 컴퓨터공학과) ;
  • 이승도 (중앙대학교 컴퓨터공학과) ;
  • 양현 (중앙대학교 컴퓨터공학과) ;
  • 주요한 (중앙대학교 컴퓨터공학과)
  • Received : 2011.09.21
  • Accepted : 2011.12.20
  • Published : 2012.03.31
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Abstract

We have been provided with a plenty of information about IT through the conferences. However, it is hard to find enough information or the latest trends from conferences because there are too many conferences. In this situation, we analyzed the latest trends related to the field of IT by exploiting the Netminer which is one of the software for analysis of social networks and measuring the Cosine Similarity between conferences, based upon keywords which are included in the conferences. We analyzed keywords of 24 conferences related to the computer network part of the IEEE (Institute of Electrical and Electronics Engineers) in the case of foreign conferences. We also analyze keywords of the KIISE (Korean Institute of Information Scientists and Engineers) conferences in the case of domestic conferences, during 2009-2010. We identified the trends through the frequency of keywords, the change of top 10 keywords ranking and the similarity between conferences.

Keywords

References

  1. Rosenfeld, A., "Image Analysis and Computer Vision : 1988", International Journal of Computer Vision, Graphics, and Image Processing, Vol.46(1989), pp.196-264. https://doi.org/10.1016/0734-189X(89)90169-2
  2. Terachi, M. R. Saga, and H. Tsuji, "Trends Recognition in Journal Papers by Text Mining", IEEE International Conference on Systems, Man, and Cybernetics, (2006), pp.4784-4789.
  3. Suominen, A. and A. Tuominen, "Analyzing the Direct Methanol Fuel Cell Technology in Portable Applications by a Historical and Bibliometric Analysis", Journal of Business Chemistry, Vol.7, No.3 (2007), pp.117-130.
  4. Sylvain, C., "Canadian Research Activity in Aquaculture : A Bibliometric Analysis", Scientometrics, Vol.27, No.3(1993), pp.295-316. https://doi.org/10.1007/BF02016944
  5. Lee, S., B. Yoon, and Y. Park, "An approach to discovering new technology opportunities : Keyword-based patent map approach", Technovation, Vol.29, No.6(2009), pp.481-497. https://doi.org/10.1016/j.technovation.2008.10.006
  6. Tonella, P., F. Ricca, E. Pianta, and C. Girardi, "Using Keyword Extraction for Web Site Clustering", Proceedings of the Fifth IEEE International Workshop on Web Site Evolution(WSE), (2003), pp.41-48.
  7. UCINET Website, http://www.analytictech.com/.
  8. Pajek Website, http://vlado.fmf.uni-lj.si/pub/networks/pajek/.
  9. Batagelj, V. and A. Mrvar, "Pajek-Program for Large Network Analysis", Technical Report of University of Ljubljana, 1999.
  10. Netminer Website, http://www.netminer.com/.
  11. Tan, P.-N., M. Steinbach, and V. Kumar, Introduction to Data Mining, Pearson Addison Wesley, 2005.
  12. Huang, A., "Similarity Measures for Text Document Clustering", New Zealand Computer Science Research Student Conference(NZCSRSC), (2008), pp.49-56.
  13. Leydesdorff, L., "On the Normalization and Visualization of Author Co-Citation Data Salton's Cosine versus the Jaccard Index", American Society for Information Science and Technology, Vol.59, No.1(2008), pp.77-85. https://doi.org/10.1002/asi.20732
  14. Obadi, G., P. Drazdilova, L. Hlavacek, J. Martinovic, and V. Snasel, "A Tolerance Rough Set Based Overlapping Clustering for the DBLP Data", IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), Vol.3(2010), pp.57-60.
  15. Su, H.-N., P.-C. Lee, and T.-Y. Chan, "Bibliometric assessments of network formations by keyword-based vector space model", Technology Management for Global Economic Growth(PICMET), (2010), pp.1-9.
  16. Nawaz, S., P. Rajan, J. H. Yu, L. Yi, J. H. Choi, D. F. Radcliffe, and J. Strobel, "A Keyword based Scheme to Define Engineering Education Research as a Field and its Members", IEEE Global Engineering Education Conference(EDUCON), (2011), pp.201-209.
  17. Maneewongvatana, S. and S. Maneewongvatana, "A similarity model for bibliographic records using subject headings", Computer Science and Software Engineering (JCSSE), (2011), pp.263-268.