data mining and statistics的意思|示意

Last, in discussing the relation of Data Mining and statistics, the sameness and distinguish between them are given.

最后对数据挖掘与统计学的关系进行了讨论，指出了数据挖掘与统计学相同之处和本质区别。

At present, outlier data mining is a hotspot for the researchers of database, machine learning and statistics.

目前，离群挖掘正逐渐成为数据库、机器学习、统计学等领域研究人员的研究热点。

Data mining is a hotspot that combines the techniques in databases, artificial intelligence and statistics areas.

数据挖掘融合了数据库技术、人工智能和统计学，是目前的研究热点。

Historically, data mining has been a task that could only be accomplished by experts in statistics and data analysis.

在过去，数据挖掘一直是统计和数据分析专家的任务。

Classification is one of the most basic tasks during the biological statistics and data mining.

在生物统计以及数据挖掘中，分类预测是最基本的任务之一。

Data mining techniques have their origins in methods from statistics, pattern recognition, databases, artificial intelligence, high performance and parallel computing and visualization.

数据挖掘技术起源于从统计方法，模式识别，数据库，人工智能，高性能和并行计算和可视化。