Precision Medicine relies on advent medical imaging technique, fusion of multi-modality medical imaging and information, and large-scale data mining on medical cases.
医学成像新技术、多模态医学成像的图像与信息融合、大数据病例的挖掘，是实现临床精准医疗的重要工程基础。
Data Mining is a domain which tries to extract knowledge and interesting information from very large-scale databases. This knowledge is hidden, unknown, but potentially useful.
数据挖掘是从大型数据库的数据中提取人们感兴趣的知识，这些知识是隐含的、事先未知的潜在有用信息。
There were problems in traditional parallel algorithms for mining frequent itemsets more or less: data deviation, large scale communication, frequent synchronization and scanning database.
传统的挖掘频繁项集的并行算法存在数据偏移、通信量大、同步次数较多和扫描数据库次数较多等问题。
Data mining technology is an effective method which draw messages or modes from the large-scale database or data warehouse that are implicit or have potential values.
数据挖掘技术是从大型的数据库或数据仓库中提取隐含的有潜在价值的信息或模式的一种有效方法。
The main point of this paper is to research the theories and applications of classifying and clustering which is suitable for large-scale science data mining.
本文主要研究适合于大规模科学数据挖掘的分类和聚类的理论和应用。
Using data mining techniques can access to the correct, interesting and potentially valuable knowledge from the large-scale data.
利用数据挖掘技术能够从大规模的数据中获取正确的、有趣的、潜在有价值的知识。
Data Mining is a domain that tries to extract knowledge and interesting information from very large-scale databases. This knowledge is hidden, unknown, but potentially useful.
数据挖掘是从大型数据库的数据中提取人们感兴趣的知识，这些知识是隐含的、事先未知的潜在有用的信息。
The research purpose of data mining is that in large scale data concentrated, find the certain regularity information that hidden, people are interested in.
数据挖掘的研究目的是在大型数据集中发现那些隐藏的、人们感兴趣的具有特定规律的信息。
Data mining solve the inadequacy of traditional analysis methods, and it can conduct large-scale data analysis and processing.
数据挖掘解决了传统分析方法的不足，并能够对大规模数据的进行分析处理。
Data mining solve the inadequacy of traditional analysis methods, and it can conduct large-scale data analysis and processing.
数据挖掘解决了传统分析方法的不足，并能够对大规模数据的进行分析处理。
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