So data mining is a very valued new area of database research area , and it is a crossed subject that adopts theory and technology of database and artificial intelligent and machine learning and statistics and so on 因此，数据挖掘是数据库研究中的一个很有应用价值的新领域，它又是一门广义的交叉学科，融合了数据库、人工智能、机器学习、统计学等多个领域的理论和技术。
This publication contains papers that present original results in business modeling and enterprise engineering , database research , data engineering , data quality and data analysis , is engineering , web engineering , and application of ai methods 本刊物载有论文说，目前的结果原来的业务建模与企业工程，数据库研究，数据工程，数据质量和数据分析，是工程，网络工程，应用人工智能方法。
With the development of network , telecommunication and sensor technologies , the data is multidimensional , continuous , and quickly changed with time . data stream theories and technologies have been a new research field of database theory 随着网络,电信和传感器技术的发展,数据采取的是多维的、连续的、随时间快速变化的流式数据的形式,数据流理论与技术成为数据库研究的一个新领域。
The component technology is a rapid - developing technology recently . with the continuous development of the internet technology and the wide spread of network connection and more higher speed of network , the web database technology in internet is becoming the hot point of recent database research . the combination of them makes the component - based web database application 组件技术是近几年来蓬勃发展的技术，同样，随着internet网络技术的不断发展、网络连接的迅速普及与网络速度的不断提升，基于internet网的web数据库技术成为当前数据库研究的热点所在，二者的结合形成了基于组件技术的web数据库应用，它极大地拓展了数据库的应用领域。
It provides support for richer object structures and powerful query - oriented functions . this kind of dbms can meet the requirement of some newly emerging application areas , such as cax , gis and ois . now , the object - relational database ( ordb ) technology is regarded as one of the most promising research and product development directions 对象关系数据库技术是在继承关系数据库技术的基础上，增加面向对象特性，使面向对象技术与关系数据库技术紧密结合，可满足cax 、 case 、 ois 、 gis等应用领域的需求而发展起来的一种新型数据库技术，它既具有管理复杂数据的能力，又能提供强有力的查询功能，是数据库研究和产品发展的一个重要方向。
In this paper , measures to ensure database safety and research about encrypted database are presented firstly . then , cryptography used in encrypted database system is discussed ; the qualification of encrypted database is presented ; advantages and disadvantages of two kinds of architecture and scheme are analysed ; encryption granularity , key management , ciphertext index , mandatory access control , encryption dictionary and integrity restriction are studied ; methods to realize encrypted database based on oracle8i are studied . at last , the transformation from ws9 cat database to encrypted database is realized and a wizard is coded to help people design encrypted database 本文首先介绍了数据库安全防护及密文数据库研究现状；然后阐述了密码学在密文数据库系统中的应用；提出了密文数据库设计要求；分析了两种结构体系和开发方式的优缺点；在详细研究了加密粒度、密钥管理、密文索引、强制访问控制、加密字典、完整性约束等技术的基础上，研究了基于oracle8i的密文数据库实现方法；实现ws9cat数据库向密文数据库的转化；设计了密文数据库开发向导。
In the aspect of the supposes of the data and the query process technology , the traditional database management systems can not satisfy these applications . as a result , the design of a novel database system to process these applications efficiently , however , became one of the hottest parts in database research 传统的数据库技术,由于其对数据的假设和相应的查询处理技术,已经无法适应这些应用的要求,因此开发一种新型的数据管理系统来有效地满足这种新型数据处理要求已成为目前数据库研究的热点之一。
Image is the form and the carrier of the visual information . the image source become more extensive along with the rapid development in multimedia technologies , computer science , communication engineering and internet , in order to organize , describe , store , query and employ these vast image data , image database is one of main tools . the one core problem about image database is the technology of image retrieval , currently , the research of the content - based image retrieval have become one hot spot throughout the world 图象是视觉信息的表现形式和存储载体。随着多媒体、计算机、通信技术及internet的快速发展，图象的来源越来越来广泛，图象数据库成为组织、表达、存储、查询和利用这些海量图象数据的主要手段。图象数据库研究的一个核心问题是图象检索，其中，基于内容的图象检索技术( cbir )是当前国内外研究的热点之一。
Data mining is called knowledge discovery in database in the data base founding . it is defined to pick up shield , unknown and uncommon , latent message and model in the large or data warehouse . it is a new field with high value melt many theory and technology such as database , ai , computer studying , accounting etc . association analyst , relational analyst , forecast analyst , clustering analyst are all key method of data mining 数据挖掘( datamining ) ，又称数据库中的知识发现( knowledgediscoveryindatabase , kdd ) ，是指从大型数据库或数据仓库中提取隐含的、未知的、非平凡的及有潜在应用价值的信息或模式，它是数据库研究中的一个很有应用价值的新领域，融合了数据库、人工智能、机器学习、统计学等多个领域的理论和技术。
