A Survey of Query Techniques in Cloud Data Management Systems

Shi, Yong; Meng, Xiao-Feng

doi:10.3724/sp.j.1016.2013.00209

Cited by 5 publications

(2 citation statements)

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“…M is the number of characters of all the data. For the binary SIRST, it can be expressed as N/M (2) . And for the ternary SIRST, I=N/M (3) .…”

Section: Related Algorithmsmentioning

confidence: 99%

“…With the emergence of new information dissemination, as well as cloud computing, networking and other emerging technologies, data at an unprecedented speed in constant growth and cumulativeness, Big Data era has arrived [1]. Massive data retrieval is one of the problems to be solved [2]. Index model is a core technology in the field of information retrieval, and is an effective way to improve the efficiency of information retrieval.…”

Section: Introductionmentioning

confidence: 99%

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Research on Multivariate Stream Line Inter-Relevant Successive Trees

Lin

Jiang

2013

AMR

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The effect of the Stream line Inter-relevant Successive Trees (SIRST) is great in the field of text search. In this paper, the binary SIRST will be extended to a ternary one. Whats more, we propose the method of calculating the K of K-ary SIRST. Finally, a sliding window retrieval algorithm is proposed. Experimental results show that the K-ary SIRST is more efficient than the binary one in the mass of information retrieval, and sliding window search algorithm is more efficient than the normal one.

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“…M is the number of characters of all the data. For the binary SIRST, it can be expressed as N/M (2) . And for the ternary SIRST, I=N/M (3) .…”

Section: Related Algorithmsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%