With the development of network technology, the spread of information on Internet becomes more andmore quick. There are many types of complicated data in the information ocean. How to acquire useful knowledgequickly f...With the development of network technology, the spread of information on Internet becomes more andmore quick. There are many types of complicated data in the information ocean. How to acquire useful knowledgequickly from the information ocean is the very difficult. The Text Mining based on Web is the new research fieldwhich can solve the problem effectively. In this paper, we present a structure model of Text Mining and research thecore arithmetic - Classification arithmetic. We have developed the Text Mining system based on Web and appliedit in the modern long-distance education. This system can automatically classify the text information of education fieldwhich is collected from education site on Internet and help people to browser the important information quickly andacquire knowledge.展开更多
介绍了挖掘理论,包括挖掘定义、挖掘任务、挖掘分类个方面,并简单介绍了实现文本挖掘系统WebWebWebWeb3WebWTMiner (的几个关键技术:分词,特征提取,分类器的设计。在分词中采用了支持首字和二分查找从而提高了分词速度,分类器Web Text M...介绍了挖掘理论,包括挖掘定义、挖掘任务、挖掘分类个方面,并简单介绍了实现文本挖掘系统WebWebWebWeb3WebWTMiner (的几个关键技术:分词,特征提取,分类器的设计。在分词中采用了支持首字和二分查找从而提高了分词速度,分类器Web Text Miner)Hash的设计中考虑到的训练算法速度慢的缺点,用近邻法以减少训练样本集中样本的数量,从而大大提高了算法速度。展开更多
文摘With the development of network technology, the spread of information on Internet becomes more andmore quick. There are many types of complicated data in the information ocean. How to acquire useful knowledgequickly from the information ocean is the very difficult. The Text Mining based on Web is the new research fieldwhich can solve the problem effectively. In this paper, we present a structure model of Text Mining and research thecore arithmetic - Classification arithmetic. We have developed the Text Mining system based on Web and appliedit in the modern long-distance education. This system can automatically classify the text information of education fieldwhich is collected from education site on Internet and help people to browser the important information quickly andacquire knowledge.
文摘介绍了挖掘理论,包括挖掘定义、挖掘任务、挖掘分类个方面,并简单介绍了实现文本挖掘系统WebWebWebWeb3WebWTMiner (的几个关键技术:分词,特征提取,分类器的设计。在分词中采用了支持首字和二分查找从而提高了分词速度,分类器Web Text Miner)Hash的设计中考虑到的训练算法速度慢的缺点,用近邻法以减少训练样本集中样本的数量,从而大大提高了算法速度。
