Intervention Events Detection and Prediction in Data Streams

被引：0

作者：

Wang, Yue ^{[1
]}

Tang, Changjie ^{[1
]}

Li, Chuan ^{[1
]}

Chen, Yu ^{[1
]}

Yang, Ning ^{[1
]}

Tang, Rong ^{[1
]}

Zhu, Jun ^{[2
]}

机构：

[1] Sichuan Univ, Comp Sch, Database & Knowledge Engn Lab, Chengdu, Peoples R China

[2] Sichuan Univ, China Birth Defect Monitoring Ctr, Chengdu, Peoples R China

来源：

ADVANCES IN DATA AND WEB MANAGEMENT, PROCEEDINGS | 2009年 / 5446卷

基金：

美国国家科学基金会;

关键词：

Intervention Events; Data stream; Detection; Prediction;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Mining interesting patterns in data streams has attracted special attention recently. This study revealed the principles behind observations, through variation of intervention events to analyze the trends in the data streams. The main contributions includes: (a) Proposed a novel concept intervention event, and method to analyze streams under intervention. (b) Proposed the methods to evaluate the impact of intervention events. (c) Gave extensive experiments oil real data to show that the newly proposed methods do prediction efficiently, and the rate Of Success is almost reach 92.6% recall in adaptive detection for intervention events in practical environment.

引用

页码：519 / +

页数：3

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