Hidden Data Extraction

Rather than relying on automatically recorded hidden field data, extraction rules can be manually added and customized as needed.

提取规则可以根据需要手动添加和自定义，而不是依赖于自动记录的隐藏字段数据。

Data mining is an information extraction activity whose goal is to discover hidden facts contained in databases.

数据挖掘是信息提取的活动，其目标是发现隐藏的事实数据库。

This paper proposes a new algorithm using hidden Markov model for information extraction based on multiple templates due to the variety of training data.

针对训练数据来源的多样化，提出了基于多模板隐马尔可夫模型的文本信息抽取算法。