IDEAS home Printed from https://ideas.repec.org/a/spr/compst/v19y2004i1p147-158.html
   My bibliography  Save this article

Hierarchical visual data mining for large-scale data

Author

Listed:
  • Matthew Ward
  • Wei Peng
  • Xiaoning Wang

Abstract

No abstract is available for this item.

Suggested Citation

  • Matthew Ward & Wei Peng & Xiaoning Wang, 2004. "Hierarchical visual data mining for large-scale data," Computational Statistics, Springer, vol. 19(1), pages 147-158, February.
    • Handle: RePEc:spr:compst:v:19:y:2004:i:1:p:147-158
    DOI: 10.1007/BF02915281
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF02915281
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/BF02915281?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. James A. Wise, 1999. "The ecological approach to text visualization," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 50(13), pages 1224-1233.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gaviria-Marin, Magaly & Merigó, José M. & Baier-Fuentes, Hugo, 2019. "Knowledge management: A global examination based on bibliometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 194-220.
    2. Zhigao Liu & Yimei Yin & Weidong Liu & Michael Dunford, 2015. "Visualizing the intellectual structure and evolution of innovation systems research: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 135-158, April.
    3. Yue Guiling & Siti Aisyah Panatik & Mohammad Saipol Mohd Sukor & Noraini Rusbadrol & Li Cunlin, 2022. "Bibliometric Analysis of Global Research on Organizational Citizenship Behavior From 2000 to 2019," SAGE Open, , vol. 12(1), pages 21582440221, February.
    4. Hugo Baier-Fuentes & José M. Merigó & José Ernesto Amorós & Magaly Gaviria-Marín, 2019. "International entrepreneurship: a bibliometric overview," International Entrepreneurship and Management Journal, Springer, vol. 15(2), pages 385-429, June.
    5. Feng Hu & Wei Liu & Sang-Bing Tsai & Junbin Gao & Ning Bin & Quan Chen, 2018. "An Empirical Study on Visualizing the Intellectual Structure and Hotspots of Big Data Research from a Sustainable Perspective," Sustainability, MDPI, vol. 10(3), pages 1-19, March.
    6. Aaron W. Baur, 0. "Harnessing the social web to enhance insights into people’s opinions in business, government and public administration," Information Systems Frontiers, Springer, vol. 0, pages 1-21.
    7. Skupin, André, 2009. "Discrete and continuous conceptualizations of science: Implications for knowledge domain visualization," Journal of Informetrics, Elsevier, vol. 3(3), pages 233-245.
    8. Aaron W. Baur, 2017. "Harnessing the social web to enhance insights into people’s opinions in business, government and public administration," Information Systems Frontiers, Springer, vol. 19(2), pages 231-251, April.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:compst:v:19:y:2004:i:1:p:147-158. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.