Abstract
Mobile Internet becomes increasing visible in everyday life. As increased penetration leverages mobile application business opportunities, it is crucial to identify methodologies to fit mobile-specific demands. Regularity is one of the important measures to enclose easy-come, easy-go mobile users. It is known that a user with multiple visits in one day with a long interval has a larger revisiting possibility in the following month than the others. The author proposes a 4+1 bit method to incorporate this empirical law in order to cope with the two major mobile restrictions: distributed server environments and large data stream. The proposed method can be performed in a one-path manner with 32-bit word boundary-aware memory compaction. The experimental result shows the method is promising to identify revisiting users under mobile-specific constraints.
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Yamakami, T. (2008). A 4+1 Bit Month-Scale Regularity Mining Algorithm with One-Path and Distributed Server Constraints for Mobile Internet. In: Takizawa, M., Barolli, L., Enokido, T. (eds) Network-Based Information Systems. NBiS 2008. Lecture Notes in Computer Science, vol 5186. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85693-1_25
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DOI: https://doi.org/10.1007/978-3-540-85693-1_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85692-4
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