数据挖掘旨在使用统计方法、人工智能和标准的数据库管理技术等等，从大型数据集中抽取模式。
Data mining seeks to extract patterns from large sets of data using, among other things, statistical methods, artificial intelligence, and standard database management techniques.
他们能够将数据挖掘技术应用到医学和生物学领域中的大型数据库中。
They can apply the data mining techniques for very large databases that they learn to research in the medical and biotechnology industries, along with many others.
CrunchBase实际上是一个大型的数据库，其中包含超过14,000家技术公司和那些公司中将近25,000个关键人物的记录(如图8所示)。
CrunchBase is basically a large database featuring records of over 14,000 technology companies and almost 25,000 key people within those companies (see Figure 8).
一般而言，层次数据库兴起于 60年代，用在当时的大型机数据处理技术方面。
Generally speaking, h ierarchical databases arose in the 1960s, on the mainframe data processing technology of the time.
数据挖掘是一种从大型数据库或数据仓库中提取隐藏的预测性信息的新技术。
The data mining is a new technology that can distill hidden, predictive information from a large database or data warehouse.
数据挖掘是近年来企业用以分析大型数据集的核心技术，是知识发现过程中的关键步骤，是数据库技术的进一步扩展。
Data Mining is recently core technologies for an enterprise to analyze large data-sets, and it is a key step in knowledge discovery process and a database technical further expanding.
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。
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.
采用多级分布式存储体系，引入JPEG2000压缩技术，结合大型数据库，实现智能、稳定和高效的存储管理。
With the aid of lossless compression technique of JPEG2000 and SQL Server2000 database, this system is intelligent, stable and effective in storage and management of medical images.
在综述现有空间数据库索引技术的基础上，提出了一种面向大型空间数据库的QR-树索引方法。
This paper classify a series of methods on spatial database index, and introduce the QR-tree index structure with very large spatial database.
在技术上，数据挖掘是在大型关系数据库几十个领域之间中寻找相互关系或模式的过程。
Technically, data mining is the process of finding correlations or patterns among dozens of fields in large relational databases.
本文探讨了流程工业大型实时数据库系统的理论、技术、设计和应用中的一些关键问题及解决方法。
In this dissertation, the research mainly focuses on the theory, technology, designing and application of the process industrial integrated automation system.
本文探讨了流程工业大型实时数据库系统的理论、技术、设计和应用中的一些关键问题及解决方法。
In this dissertation, the research mainly focuses on the theory, technology, designing and application of the process industrial integrated automation system.
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