Shu Gaoa,b,*, Zhen Wanga, Liangchen Chena
Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 683-689, 2019, DOI:10.31209/2018.100000061
Abstract The explosive growth of data produced by internet of things has contributed to
the abundance of data. Since then, efficient indexing and querying techniques
for data retrieval has become a major challenge. Bitmap index and its extension
techniques, which involve a bit sequence that represents a specified property and
indicates the data items that satisfies this property, are well-known methods to
improve processing time for complex and interactive queries on the read-mostly
or append-only data. This paper proposes an improved bitmap index technique,
named Sliced-Interval Bitmap Index (SI Bitmap Index), which is efficient in both More >
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