找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Database Theory and Application, Bio-Science and Bio-Technology; International Confer Yanchun Zhang,Alfredo Cuzzocrea,Xiaofeng Song Confere

[复制链接]
楼主: Bunion
发表于 2025-3-23 12:53:06 | 显示全部楼层
Coupling Ontology with Rule-Based Theorem Proving for Knowledge Representation and Reasoning,orem proving. Since they belong to algebraic elimination method or artificial intelligence method, it is difficult to use them to express domain knowledge clearly or represent hierarchy of systems. Therefore, we build a loosely coupled system to combine ontology and rule-based reasoning. Firstly, we
发表于 2025-3-23 17:04:38 | 显示全部楼层
发表于 2025-3-23 19:12:50 | 显示全部楼层
The Lower and the Upper Systems of Rules in Tables with Missing Values,ork, we focused on the information incompleteness in ., and investigated rule generation in .-... (.). We also proposed .-. algorithm for this rule generation. In this paper, we consider . with missing values, which may be known as ... (.). A rule in a . is extended to either a rule in the .. or a r
发表于 2025-3-23 23:19:08 | 显示全部楼层
发表于 2025-3-24 03:26:02 | 显示全部楼层
Data Warehouse Discovery Framework: The Case Study,s the risk that all the design and development of the Data Warehouse and Business Intelligence Environment may not bring the result expected by the user. This was the main incentive behind author’s effort of laying down the foundation for new methodology called Data Warehouse Discovery [1]. The foun
发表于 2025-3-24 10:35:02 | 显示全部楼层
发表于 2025-3-24 14:24:58 | 显示全部楼层
发表于 2025-3-24 15:45:49 | 显示全部楼层
Great Deluge Algorithm for Rough Set Attribute Reduction,be defined as a process to eliminate redundant attributes and at the same time is able to avoid any information loss, so that the selected subset is sufficient to describe the original features. In this paper, we present a great deluge algorithm for attribute reduction in rough set theory (GD-RSAR).
发表于 2025-3-24 20:08:45 | 显示全部楼层
发表于 2025-3-25 01:08:13 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-8 19:06
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表