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。
With the development of artificial intelligence (AI), there are the diagnosis techniques in a new phase , which is intelligent diagnosis phase.
随着人工智能技术的不断进步，诊断技术已开始进入一个新阶段，即智能化诊断阶段。
A detailed discussion was made on the application of two artificial intelligence techniques neural network and expert system-in foundry production.
对人工智能中的神经网络和专家系统在铸造业中的应用进行了详细的论述。
Some USES of artificial intelligence techniques in process control system are illustrated.
本文的目的是阐明人工智能技术在过程控制系统中的某些应用。
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。
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。
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