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一种基于线性回归的WEB服务识别方法

Based on Linear Regression WEB Service Identification Method

中文摘要英文摘要

对于互联网上出现的大量WEB服务,如何识别这些WEB服务是当前服务计算领域研究的一个热点问题。本文提出了一种新型的基于线性回归的非结构化WEB服务识别方法,主要包括基于线性回归的目标拟合曲线的构造算法和基于线性回归的非结构化WEB服务识别算法,并通过实验从服务的召回率和准确率等方面分析,证实了算法的正确性。

For the large number of WEB services on the Internet, how to identify these WEB services is a hot research issue in computing services currently. This paper presents a new linear regression-based identification method of unstructured WEB services, including the target curve fitting building algorithm which based on linear regression and the linear regression algorithm for identify unstructured WEB services, and through experiment analysis from the service of recall and accuracy and other aspects, confirmed the correctness of the algorithm.

帖晶、陈行益

计算技术、计算机技术

线性回归网页去噪RESTWEB服务WEB API

linear regressiondenoisingRESTWEB ServiceWEB API

帖晶,陈行益.一种基于线性回归的WEB服务识别方法[EB/OL].(2011-07-22)[2025-08-16].http://www.paper.edu.cn/releasepaper/content/201107-351.点此复制

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