罗国辉(1991-),男,硕士研究生,主要研究方向为大数据及云计算.
林穗(1972-),女,副教授,硕士生导师,主要研究方向为云计算、数据挖掘.E-mail:1393010714@qq.com
网络首发:2017-09-09,
纸质出版:2017
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罗国辉, 林穗, 姜文超. 一种基于二进制编码处理的数字保序匹配算法[J]. 广东工业大学学报, 2017, 34(5): 56-59.
Luo Guo-hui, Lin Sui, Jiang Wen-chao. A Digital Order-Preserving-Matching Algorithm Based on Binary Coding Processing[J]. 2017, 34(5): 56-59.
罗国辉, 林穗, 姜文超. 一种基于二进制编码处理的数字保序匹配算法[J]. 广东工业大学学报, 2017, 34(5): 56-59. DOI: 10.12052/gdutxb.160157.
Luo Guo-hui, Lin Sui, Jiang Wen-chao. A Digital Order-Preserving-Matching Algorithm Based on Binary Coding Processing[J]. 2017, 34(5): 56-59. DOI: 10.12052/gdutxb.160157.
给出一个数字文本
T
跟一个数字文本段落
P
,在
T
中找出所有跟
P
相同关联顺序的子串称之为数字保序匹配问题.数字保序匹配问题是检测相似度和预测趋势领域的研究重点,在股票预测、基金走势、天气预报等方面有广泛应用.针对保序匹配算法在数字匹配中的效率问题,提出了基于二进制编码的数字字符匹配方法.首先,在保序匹配前先对数字字符进行二进制编码预处理;然后使用4种主流算法实现了保序匹配,并对匹配时间和复杂度进行对比分析.实验结果表明:该处理方法有效提高了数字字符匹配效率,同时保持了较低的时间复杂度.
Giving a digital text
T
and a number of text paragraphs
P
and then finding in
T
all the same order with
P
-related sub-string is called the digital order preserving and matching. Digital order-matching is the focus of research on similarity and prediction trend
widely used in stock forecast
fund trend and weather forecast. Aiming at the efficiency of preserving and matching algorithm in digital matching
a character matching method based on binary coding has been proposed. Firstly
the binary characters are preprocessed before the order matching. Then the four main algorithms are used to achieve the order-preserving and matching
and the matching time and complexity are compared and analyzed. The experimental results
show that the proposed method effectively improves the efficiency of digital character matching while maintaining a low time complexity.
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