规则型数据采掘工具集AMINER  

Rule-based Data Mining Kit AMINER

作　　者：朱扬勇[1] 周欣[1] 施伯乐[1] 

机构地区：[1]复旦大学计算机科学系,上海200433

出　　处：《高技术通讯》2000年第3期19-22,共4页Chinese High Technology Letters

基　　金：863计划资助项目!( 863 3 0 6 ZT0 2 0 5 1)

摘　　要：介绍了一个规则型数据采掘工具集AMINER ,其目标是增强知识表达的能力 ,并形成一个实用的数据采掘工具 ,使其能适用于多种不同的应用领域。工具集以一定程度上通用的CRD方法为基本采掘算法 ,分为数据预处理、数据采掘和数据评价三大主要模块。系统原型是一个在关系或演绎数据库中采掘规则型知识 ,并对领域知识和采掘结果进行管理的系统 ,其主要功能包括数据采掘、领域知识的管理和采掘结果的管理。最后 ,对未来的工作提出了展望。A rule based data mining kit AMINER is introduced. It aims at strengthening the expressive ability of knowledge expression, and forming a practical data mining tool, which is applicable to a variety of application fields. Using a relatively common algorithm CRD method as its basis, the kit can be divided into three main models which are data preprocessing, data mining and data evaluation. Its prototype is a system mining rule based knowledge in relation database or deductive database, and managing domain knowledge and mining result. Its main functions include data mining, domain knowledge management and mining result management. Finally, some expectation for future work are presented.

关 键 词：数据采掘 CRD算法 工具集AMINER 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]