Abstract
The log data collected from mobile telecom services contains plenty of valuable information. The critical technical challenges to mobile log analysis include how to extract information from unformatted raw data, as well as how to visually represent and interact with the analysis results. In this paper, we demonstrate MobiLogViz, which seamlessly combines multidimensional data visualization and web usage mining techniques. By automatically processing the log data and providing coordinated views with various interactions, MobiLogViz effectively aids users in analyzing and exploring mobile log data.
This work is a part of the joint research project with EMC Labs China (the Office of CTO, EMC Corporate), and is funded by EMC China Center of Excellence.
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References
Card, S.K., Mackinlay, J.D., et al. (eds.): Readings in information visualization: Using vision to think. Morgan Kaufmann Publishers Inc., San Francisco (1999)
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© 2014 Springer International Publishing Switzerland
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Liang, T., Cao, Y., Zhu, M., Zhou, B., Li, M., Gan, Q. (2014). A Mobile Log Data Analysis System Based on Multidimensional Data Visualization. In: Bhowmick, S.S., Dyreson, C.E., Jensen, C.S., Lee, M.L., Muliantara, A., Thalheim, B. (eds) Database Systems for Advanced Applications. DASFAA 2014. Lecture Notes in Computer Science, vol 8422. Springer, Cham. https://doi.org/10.1007/978-3-319-05813-9_41
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DOI: https://doi.org/10.1007/978-3-319-05813-9_41
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-05812-2
Online ISBN: 978-3-319-05813-9
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