Implementing Cost-effective Data Collection and Extraction Processes with CollaMine

被引：1
|
作者：
Lu, Kenny Zhuo Ming [1 ]
Heng, Belson [1 ]
机构：
[1] Nanyang Polytech, Sch Informat Technol, 180 Ang Mo Kio Ave 8, Singapore 569830, Singapore
来源：
2016 INTERNATIONAL CONFERENCE ON CLOUD COMPUTING RESEARCH AND INNOVATION - ICCCRI 2016 | 2016年
关键词：
D O I：
10.1109/ICCCRI.2016.22
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
We present the CollaMine framework which aims to reduce the cost of data collection and data extraction. The framework consists of two key solutions, namely, a collaborative system for web crawlers, and an automated regular expression diagnosis system for web content extractors. The empirical results show that the systems help to reduce the costs of data collection and extraction.
引用
收藏
页码：92 / 99
页数：8
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