text data mining中文什么意思

text mining: 文本挖掘
data mining: 【計(jì)算機(jī)】數(shù)據(jù)挖掘。
data fusion and mining methods: 數(shù)據(jù)融合與數(shù)據(jù)挖掘
data mining and knowledge discovery: 數(shù)據(jù)發(fā)掘與知識(shí)發(fā)現(xiàn); 數(shù)據(jù)開發(fā)與認(rèn)知; 數(shù)據(jù)挖掘和知識(shí)發(fā)現(xiàn)
data mining and visualisation: 數(shù)據(jù)挖掘和可視化

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so text data mining ( text dm ) is gradually a popular and important research project
所以，文本數(shù)據(jù)的挖掘成為數(shù)據(jù)挖掘中一個(gè)日益流行且重要的研究課題。
at the end of this paper, contents of this paper are summarized, and the orientation of text data mining is proposed
最后，對(duì)本論文的內(nèi)容進(jìn)行了總結(jié)，并對(duì)文本挖掘的研究提出了展望。
tm ( short for text mining ), also called as text data mining, means the process which can find the useful information and knowledge from a large number of texts
文本挖掘(textmining,簡(jiǎn)稱tm),也稱作文本數(shù)據(jù)挖掘(textdatamining),通俗地說(shuō),就是從文本或大量文本的集合中發(fā)現(xiàn)有用信息和知識(shí)過程。

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