Mining predecessor–successor rules from DAG data

Data mining extracts implicit, previously unknown, and potentially useful information from databases. Many approaches have been proposed to extract information, and one of the most important ones is finding association rules. Although a large amount of research has been devoted to this subject, none of it finds association rules from directed acyclic graph (DAG) data. Without such a mining method, the hidden knowledge, if any, cannot be discovered from the databases storing DAG data such as family genealogy profiles, product structures, XML documents, task precedence relations, and course structures. In this article, we define a new kind of association rule in DAG databases called the predecessor–successor rule, where a node x is a predecessor of another node y if we can find a path in DAG where x appears before y. The predecessor–successor rules enable us to observe how the characteristics of the predecessors influence the successors. An approach containing four stages is proposed to discover the predecessor–successor rules. © 2006 Wiley Periodicals, Inc. Int J Int Syst 21: 621–637, 2006.     

基于DOCSIS标准的HFC数据加密算法的分析

基于DOCSIS标准的增强型基线保密性接口（BPI＋）采用56bit DES加密分组数据，采用二密钥三重DES加密通信量加密密钥。这种多重加密技术的应用为HFC网络的数据传输提供了相当于或更好于专线级的网络安全与加密性能。     

超低密度硬胶极压型油包水乳化钻井液在广安002-H9井的应用

在超低密度钻井液的使用方面，传统的油基钻井液和油包水钻井液存在易着火、安全性差的问题，而最近使用的美国3M公司的中空玻璃微珠聚磺钻井液又存在固控困难、钻井液费用很高等难题。为此，从选择合适的润湿反转剂和阻燃剂入手，在室内对获得的超低密度硬胶极压型油包水乳化钻井液成果配方进行了全面评价，并应用在广安002 H9井水平段欠平衡钻井中取得了良好效果。室内研究与现场应用表明，超低密度硬胶极压型油包水乳化钻井液能够很好地满足广安构造水平井段欠平衡钻井的需要。该钻井液体系具有防塌、润滑、携砂能力强，密度容易控制，钻井液单位成本合理并可重复使用，安全性好等显著特点，适合在类似广安构造的水平井段中推广应用。     

"橄榄型"社会阶层结构范式论

拥有一个"橄榄型"社会阶层结构,社会就会减少动荡,保持社会的相对稳定与和谐.现阶段培育"橄榄型"的社会阶层结构,是构建社会主义和谐社会的重要基础.     

SQL性能优化——表连接的分析

介绍两个表连接的几种常用方式和不同方式的内部机制.在比较3种不同表连接方式的优缺点基础上,选择一种好的方式来优化表连接,以提高查询速度,并结合中国邮政报刊发行系统数据库开发中遇到的生产实际,分析3种表连接方式的优劣.     

A distributed adverse drug reaction detection system using intelligent agents with a fuzzy recognition‐primed decision model

Discovering unknown adverse drug reactions (ADRs) in postmarketing surveillance as early as possible is highly desirable. Nevertheless, current postmarketing surveillance methods largely rely on spontaneous reports that suffer from serious underreporting, latency, and inconsistent reporting. Thus these methods are not ideal for rapidly identifying rare ADRs. The multiagent systems paradigm is an emerging and effective approach to tackling distributed problems, especially when data sources and knowledge are geographically located in different places and coordination and collaboration are necessary for decision making. In this article, we propose an active, multiagent framework for early detection of ADRs by utilizing electronic patient data distributed across many different sources and locations. In this framework, intelligent agents assist a team of experts based on the well‐known human decision‐making model called Recognition‐Primed Decision (RPD). We generalize the RPD model to a fuzzy RPD model and utilize fuzzy logic technology to not only represent, interpret, and compute imprecise and subjective cues that are commonly encountered in the ADR problem but also to retrieve prior experiences by evaluating the extent of matching between the current situation and a past experience. We describe our preliminary multiagent system design and illustrate its potential benefits for assisting expert teams in early detection of previously unknown ADRs. © 2007 Wiley Periodicals, Inc. Int J Int Syst 22: 827–845, 2007.     

含V、N无缝钢管表面外折缺陷产生原因的分析

通过对鞍钢生产的部分批号V、N微合金强化无缝钢管及生产该钢管的原料连铸坯和连轧管坯的表面缺陷进行研究，分析了含V、N钢管表面外折缺陷的成因，提出了改善钢管表面质量的方法。采用改进后工艺生产的无缝管，其表面外折废品量大幅度降低。