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Application for Temporal Analysis of Scientific Technology Information

  • Conference paper
Mobile, Ubiquitous, and Intelligent Computing

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 274))

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Abstract

In recent, business intelligence becomes one of important issues due to various analyses on technology trends. Especially, understanding the relations and influences between technologies is core property for the high-performed analysis. To do this, a few works have utilized ontologies constructed automatically but still have many errors and it causes difficulty while interpreting technology trends. Therefore this paper introduces an application which visualizes relationships and influences between technologies according to time series. Our application provides clues for intuitive observations of relationship change between technologies.

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References

  1. Kim, J., Hwang, M., Jeong, D.-H., Jung, H.: Technology Trends Analysis and Forecasting Application based on Decision Tree and Statistical Feature Analysis. Expert Systems with Applications 39, 12618–12625 (2012)

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  4. Kim, J., Jeong, D.-H., Lee, D., Jung, H.: User-centered Innovative Technology Analysis and Prediction Application in Mobile Environment. Multimedia Tools and Applications (to appear)

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Author information

Authors and Affiliations

  1. Korea Institute of Science and Technology Information (KISTI), 245 Daehak-ro, Yuseong-gu, Daejeon, 305-806, South Korea

    Myunggwon Hwang, Do-Heon Jeong, Jinhyung Kim, Jangwon Gim, Sa-kwang Song, Sajjad Mazhar & Hanmin Jung

  2. Korean University of Science and Technology (UST), 217 Gajung-ro, Yuseong-gu, Daejeon, 305-350, South Korea

    Sajjad Mazhar

  3. Information Technology Supporting Center, Institute of Scientific and Technical Information of China, No. 188 Longwan St. South, Huludao, Liaoning, 125105, P.R. China

    Shuo Xu & Lijun Zhu

Authors
  1. Myunggwon Hwang
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  2. Do-Heon Jeong
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  3. Jinhyung Kim
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  4. Jangwon Gim
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  5. Sa-kwang Song
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  6. Sajjad Mazhar
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  7. Hanmin Jung
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  8. Shuo Xu
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  9. Lijun Zhu
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Corresponding author

Correspondence to Myunggwon Hwang .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Seoul University of Science & and Technology (SeoulTech), Seoul, Korea, Republic of (South Korea)

    James J. (Jong Hyuk) Park

  2. Biomedical Informatics Neuroscience, Ohio State University Center for Biomedical Engineering, Columbus, Ohio, USA

    Hojjat Adeli

  3. Dept of Computer Education, Jeju National University Teachers College, Jeju Special Self-Governing Province, Korea, Republic of (South Korea)

    Namje Park

  4. Ryerson University Dept. Computer Science, Toronto, Ontario, Canada

    Isaac Woungang

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© 2014 Springer-Verlag Berlin Heidelberg

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Cite this paper

Hwang, M. et al. (2014). Application for Temporal Analysis of Scientific Technology Information. In: Park, J., Adeli, H., Park, N., Woungang, I. (eds) Mobile, Ubiquitous, and Intelligent Computing. Lecture Notes in Electrical Engineering, vol 274. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40675-1_30

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  • DOI: https://doi.org/10.1007/978-3-642-40675-1_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40674-4

  • Online ISBN: 978-3-642-40675-1

  • eBook Packages: EngineeringEngineering (R0)

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