Recently data mining and text mining are important research areas in information technology.

数据挖掘和文本挖掘是当前信息技术中的一个重要研究领域；

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Several methods of data mining and text mining have been studied in this paper, which mainly includes: attribute reduction methods, clustering methods.

本文研究了基于遗传算法和社会演化算法的数据挖掘和文本挖掘方法，主要包括数据挖掘和文本挖掘中的属性约简问题、聚类问题。

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The difference between regular data mining and text mining is that in text mining the patterns are extracted from natural language text rather than from structured databases of facts.

文本数据挖掘也不同于常规意义上的数据挖掘，常规数据挖掘是在数据库中发现感兴趣的模式，而文本数据挖掘是从自然语言文本中发现模式。

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Envision an environment in the future where we would have the ability to enhance data further by adding analytic capabilities on top of an idea repository and use handwriting recognition and text mining to find, correlate and combine good ideas, making innovation integrated and efficient.

FORBES: Don't Erase The Master Plan: Digitally Capturing Big Ideas