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Bizard: An Online Multi-dimensional Data Analysis Visualization Tool

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Web Technologies and Applications (APWeb 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7235))

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Abstract

In order to address the visualized analysis on the multi-dimensional data, this demo paper designs and implements a visualization analysis tool, named as Bizard. Bizard encapsulates the underlying Hadoop Client or XML/A data access interface, which makes it convenient to use conventional analytical tools. By Rich Internet Application (RIA) technology, Bizard designs multiple visualization dashboard widgets and supports interactive multi-dimensional analysis.

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Author information

Authors and Affiliations

  1. School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan, China

    Zhuoluo Yang, Jinguo You, Jian Wang & Jianhua Hu

  2. Yunnan Computer Technology Application Key Lab, Kunming University of Science and Technology, Kunming, Yunnan, China

    Zhuoluo Yang & Jinguo You

Authors
  1. Zhuoluo Yang
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  2. Jinguo You
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  3. Jian Wang
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  4. Jianhua Hu
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Editor information

Editors and Affiliations

  1. School of Computer Science, The University of Adelaide, Australia

    Quan Z. Sheng

  2. College of Information Science and Engineering, Northeastern University, 110819, Shenyang, China

    Guoren Wang

  3. Aarhus University, Denmark

    Christian S. Jensen

  4. Center for Applied Informatics, Victoria University, PO Box 14428, 8001, VIC, Australia

    Guandong Xu

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© 2012 Springer-Verlag Berlin Heidelberg

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Yang, Z., You, J., Wang, J., Hu, J. (2012). Bizard: An Online Multi-dimensional Data Analysis Visualization Tool. In: Sheng, Q.Z., Wang, G., Jensen, C.S., Xu, G. (eds) Web Technologies and Applications. APWeb 2012. Lecture Notes in Computer Science, vol 7235. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29253-8_76

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  • DOI: https://doi.org/10.1007/978-3-642-29253-8_76

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29252-1

  • Online ISBN: 978-3-642-29253-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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