Apriori算法在网上考试系统中的应用     

刘林东  曾小宁 《广东教育学院学报》2005,25(5):103-108

在远程教育系统的网上考试系统模块中,数据库和数据仓库中的用户交互数据记录了用户对系统的访问行为信息,利用最小支持度和最小置信度,挖掘出频繁项集,对这些信息的分析有利于远程教育教学管理人员和教师掌握学生对知识的掌握情况,从而可以对教学内容加以改进,对教学平台进行优化.  相似文献   

Hybrid ants-like search algorithms for P2P media streaming distribution in ad hoc networks     

ZUO Dong-hong DU Xu YANG Zong-kai 《浙江大学学报(A卷英文版)》2007,8(8):1191-1198

Media streaming delivery in wireless ad hoc networks is challenging due to the stringent resource restrictions,po-tential high loss rate and the decentralized architecture. To support long and high-quality streams,one viable approach is that a media stream is partitioned into segments,and then the segments are replicated in a network and served in a peer-to-peer(P2P) fashion. However,the searching strategy for segments is one key problem with the approach. This paper proposes a hybrid ants-like search algorithm(HASA) for P2P media streaming distribution in ad hoc networks. It takes the advantages of random walks and ants-like algorithms for searching in unstructured P2P networks,such as low transmitting latency,less jitter times,and low unnecessary traffic. We quantify the performance of our scheme in terms of response time,jitter times,and network messages for media streaming distribution. Simulation results showed that it can effectively improve the search efficiency for P2P media streaming distribution in ad hoc networks.  相似文献   

刚性常微分方程的数值解法在化学动力学中的应用   总被引：1，自引：0，他引：1  

金翔秋  林娟娟 《温州职业技术学院学报》2003,3(2):46-49

解刚性常微分方程已成为复杂化学反应研究的重要途径，本介绍了化学动力学计算中的刚性问题和数值解法，并着重讨论常用的吉尔(Gear)法和半隐式龙格库塔(Semi-implicit Runge-Kutta)法及其在化学动力学中的应用。  相似文献   

基于电子商务的精确搜索引擎的研究与实现     

许建豪 《南宁职业技术学院学报》2011,(4):97-100

随着科技的发展,电子商务日益活跃。现行的电子商务打折网站与生俱来的局限性,越来越跟不上时代的步伐。能否开发一个能够收集全球打折信息的电子商务网站,越来越引起人们的重视。采用精确搜索引擎算法的电子商务精确搜索引擎模型,具有很好的精确性和响应速度,能够查询到精确而全面的打折信息,有较高的实用价值。  相似文献   

FARMER: A novel approach to file access correlation mining and evaluation reference model     

夏鹏  冯丹  王芳 《上海大学学报(英文版)》2011,15(6):574-588

File semantic has proven effective in optimizing large scale distributed file system. As a consequence of the elaborate and rich I/O interfaces between upper layer applications and file systems, file system can provide useful and insightful information about semantic. Hence, file semantic mining has become an increasingly important practice in both engineering and research community. Unfortunately, it is a challenge to exploit file semantic knowledge because a variety of factors could affect this information exploration process. Even worse, the challenges are exacerbated due to the intricate interdependency between these factors, and make it difficult to fully exploit the potentially important correlation among various semantic knowledges. This article proposes a file access correlation miming and evaluation reference (FARMER) model, where file is treated as a multivariate vector space, and each item within the vector corresponds a separate factor of the given file. The selection of factor depends on the application, examples of factors are file path, creator and executing program. If one particular factor occurs in both files, its value is non-zero. It is clear that the extent of inter-file relationships can be measured based on the likeness of their factor values in the semantic vectors. Benefit from this model, FARMER represents files as structured vectors of identifiers, and basic vector operations can be leveraged to quantify file correlation between two file vectors. FARMER model leverages linear regression model to estimate the strength of the relationship between file correlation and a set of influencing factors so that the “bad knowledge” can be filtered out. To demonstrate the ability of new FARMER model, FARMER is incorporated into a real large-scale object-based storage system as a case study to dynamically infer file correlations. In addition FARMER-enabled optimize service for metadata prefetching algorithm and object data layout algorithm is implemented. Experimental results show that is FARMER-enabled prefetching algorithm is shown to reduce the metadata operations latency by approximately 30%–40% when compared to a state-of-the-art metadata prefetching algorithm and a commonly used replacement policy.  相似文献   

Apriori算法的改进算法设计与分析     

陈自力 《闽江学院学报》2011,32(2):38-40

提出采用事务压缩和哈希技术相结合方式的改进算法.该算法通过备份数据库Dk生成候选项目集Ck,在生成Ck的同时计算支持度.针对生成频繁2-项目集L2的瓶颈,在生成L2的时候使用DHP算法.从时间复杂度上对Apriori算法和改进算法进行比较,说明改进算法在效率上优于Apriori算法.  相似文献   

基于遗传算法的高校试题组卷系统的研究     

张福泉 《河北职业技术学院学报》2011,(4)

阐述了高校组卷系统的原理,重点研究了作为系统关键的组卷策略运算过程,提出了一个改进的动态分层遗传算法作为高校组卷系统的组卷策略,最后通过实验检验其性能。  相似文献   

一种改进的Apriori算法     

陈建辉 《宜春学院学报》2007,29(4):87-88,122

在对关联规则挖掘算法Apriori进行深入研究的基础上,提出了一种改进的算法SDA算法,在三个方面进行了改进:(1)频繁2-项集生成方法;(2)改进Apriori_gen算法(3)减少事务数据库.在实验数据集上所做的实验结果表明SDA算法是有效的.  相似文献   

Improving the learning of Boolean queries by means of a multiobjective IQBE evolutionary algorithm     

O. Cordón  E. Herrera-Viedma  M. Luque 《Information processing & management》2006

The Inductive Query By Example (IQBE) paradigm allows a system to automatically derive queries for a specific Information Retrieval System (IRS). Classic IRSs based on this paradigm [Smith, M., & Smith, M. (1997). The use of genetic programming to build Boolean queries for text retrieval through relevance feedback. Journal of Information Science, 23(6), 423–431] generate a single solution (Boolean query) in each run, that with the best fitness value, which is usually based on a weighted combination of the basic performance criteria, precision and recall.  相似文献   

遗传算法在股票投资技术分析中的应用     

冯平  宣慧玉 《预测》2001,20(2):38-41

本文首先分析了股票投资技术分析的特点,然后阐述了遗传算法及基于遗传算法的分类器系统的基本理论.最后,详细讨论了遗传算法及分类器系统在两种最常用的股票投资技术分析方法(指标分析和图形分析)的计算机化中的运用问题.  相似文献