Abstract
A previous method supported partial-sum queries using a Covering Code (CCode) method with a seed table and an index look-up table. However, this approach suffers a major drawback in the excessive memory space requirement associated with the index look-up table. Accordingly, this work proposes an efficient method, called the Hamming-Based Code (HBC). The HBC method uses Hamming-based codes to establish a seed table and locate the nearest seed to a user’s partial-sum query. The total partial-sum can be determined by calculating the seed value and original cell value via plus or minus operations. For dynamic environments, the seed table only needs to change half of the seeds, and complete reconstruction is unnecessary. In the present analysis, the HBC method requires less storage than the CCode method.
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Lee, CI., Li, YC., Tseng, SM. (2004). An Efficient Approach for Partial-Sum Queries in Data Cubes Using Hamming-Based Codes. In: Lee, Y., Li, J., Whang, KY., Lee, D. (eds) Database Systems for Advanced Applications. DASFAA 2004. Lecture Notes in Computer Science, vol 2973. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24571-1_42
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DOI: https://doi.org/10.1007/978-3-540-24571-1_42
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