检索结果-内蒙古大学图书馆

Research and Realization of Security Policy in IPSec Based on id3 algorithm

Research and Realization of Security Policy in IPSec Based o...

The First International Conference on Multimedia Information Networking and Security(第一届国际多媒体网络信息安全会议 MINES 2009)

作者： Yang Ming Guo Shuxu College of Electronic Science & Engineering Jilin University Changchun China 130012 Department of College of Electronic Science & Engineering Jilin University Changchun China 130012

IPSec is a policy-driven security mechanism. How to react on the diversiyt of network security and quickly generate corresponding security policy is one of the core issues of IPSec. This article introduces the traditional IPSec security policy and demonstrates an improved mechanism of implementing the IPSec security policy. Secondly, it constructs the security policy model based on id3 algorithm by adding the policy engine components for enhancing efficiency and flexibility of security policy management for IPSec. Finally, through a case analysis, it describes the dynamic generation process of IPSec security policy.

关键词： IPSec security policy id3 algorithm decision tree

来源：评论

学校读者我要写书评

暂无评论

Improvement of id3 algorithm Implementation

Improvement of ID3 Algorithm Implementation

引用

2017 2nd International Conference on Software, Multimedia and Communication Engineering（SMCE 2017)

作者： Ming-hao LIU Nan LIU Wei SHANG School of Computer Science and Technology Chongqing University of Posts and Telecoms

id3 algorithm is a classical algorithm in decision tree algorithm,commonly used in data *** to that spatial information data has the characteristics of large capacity and diversity,when id3 algorithm does data mining for spatial information,in the process of generating decision tree,some nodes will appear special sample sets which the information gain of each classification attribute is 0 and values of result attribute are not unique ***,conventional implementation of id3 algorithm can't ensure the generation of decision *** on this,conventional implementation of id3 algorithm is improved,and the fault tolerance of algorithm implementation is *** algorithm implementation can do data mining for spatial data set.

关键词： id3 algorithm Data mining Spatial information

来源：评论

学校读者我要写书评

暂无评论

Application of id3 algorithm in Information Asset identification

Application of ID3 Algorithm in Information Asset Identifica...

引用

2012 National Conference on Information Technology and Computer Science

作者： Hua Yong Department of Foundation,the First Aeronautical College of Air Force,Xinyang,Henan,464000,China Zhang Yunlong Electronic Information Engineering College,Sias International University,Zhengzhou University,Xinzheng,Henan,451150,China

In the issue of information security risk evaluation,the asset,the threat and the vulnerability are the three most important *** asset identification is a primary link of information security risk evaluation *** this paper,the decision tree algorithm was applied into the identification of information assets;the basic process of id3 algorithm are described;the data of information system property is classified by id3 algorithm;the decision tree was made;and the rules are extracted for providing basis of information asset recognition.

关键词： information Security decision tree id3 algorithm

来源：评论

学校读者我要写书评

暂无评论

Application of id3 algorithm in Exercise Prescription

Application of ID3 Algorithm in Exercise Prescription

引用

The 2011 International Conference on Electric and Electronics(EEIC 2011)

作者： Quancheng Zhang Kun You Gang Ma Department of Physical Education Xi'an Shiyou University School of Computer Science Xi'an Shiyou University

This paper adopts the id3 algorithm for mining hidden classification rules from mass students' physical constitution evaluation and sports training result data. It is helpful for PE teacher on planning exercise prescriptions toward college students with different physical constitution conditions by decision support. The algorithm generates a decision tree by choosing attributes with maximum information gain ratio for classification(Fig. 1). Such process involves a classification training set R(Table 1) towards original data, a information gain calculation according to overall evaluation of the physical constitution, separately investigate information gain ratio between physical constitution overall evaluation and each classification attribute, eliminating classification attribute ids which has no practical significance.

关键词： Classification Analysis Decision Trees id3 algorithm Exercise Prescription

来源：评论

学校读者我要写书评

暂无评论

An Enhanced id3 algorithm Based on Attribute Attention

An Enhanced ID3 Algorithm Based on Attribute Attention

引用

2011 4th IEEE International Conference on Computer Science and Information Technology(ICCSIT 2011)

作者： Yujun Tong School of Electronic and Information Engineering Liaoning University of Technology

ISBN: (纸本)9781612848334

In decision tree learning, Iterative Dichotomiser version 3 (id3) is an algorithm used to generate a decision tree invented by Ross Quinlan. The conventional id3 algorithm has more preference to the multi-valued attributes than the actually necessary ones in selecting attributes. To solve the weak point, the improved id3 algorithm (AAid3) is proposed through introducing the Attribute Attention. In this way, the decision tree’s dependency on the multi-valued attributes is decreased. Simulation experimental results show that the AAid3 algorithm is superior to the id3 algorithm on the accuracy of classification, concision of decision tree, independency from multi-valued attributes.

关键词： decision tree id3 algorithm Attribute Attention information gain

来源：评论

学校读者我要写书评

暂无评论

Development of Improved id3 algorithm with TkNN Clustering Using Car Dataset

Development of Improved ID3 Algorithm with TkNN Clustering U...

引用

The 3rd International Conference on Advances in Engineering Sciences & Applied Mathematics (ICAESAM’2015, UK)

作者： M.Jayakameswaraiah S.Ramakrishna Department of Computer Science Sri Venkateswara University

Data mining involves an integration of techniques from multiple disciplines such as database technology, statistics, machine learning. The objective of this research undertaking was to explore the possible application of data mining technology for mining training dataset. In this paper, Improved id3 and Tk NN Clustering decision making, classification with clustering method is used to build an effective decision making approach for capable performance. And also we proposed Improved id3 with Tk NN algorithm for best car market analysis. We have executed in Weka Tool with Java code. We analyzed the graphical performance analysis with Classes to Clusters evaluation, purchase, safety, luggage booting, persons(seating capacity), doors, maintenance and buying attri butes of customer's requirements for unacceptable/acceptable/good/very good ratings of a car to purchase.

关键词： Data Mining Classification KNN id3 algorithm Improved id3 with TkNN Clustering

来源：评论

学校读者我要写书评

暂无评论

A new feature selection model based on id3 and bees algorithm for intrusion detection system

引用

TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES 2015年第2期23卷 615-622页

作者： Eesa, Adel Sabry Orman, Zeynep Brifcani, Adnan Mohsin Abdulazeez Zakho Univ Dept Comp Sci Fac Sci Duhok City Iraq Istanbul Univ Fac Engn Dept Comp Engn Istanbul Turkey Duhok Polytech Univ Duhok Tech Inst Dept Informat Technol Duhok City Iraq

Intrusion detection systems (idSs) have become a necessary component of computers and information security framework. idSs commonly deal with a large amount of data traffic and these data may contain redundant and unimportant features. Choosing the best quality of features that represent all of the data and exclude the redundant features is a crucial topic in idSs. In this paper, a new combination approach based on the id3 algorithm and the bees algorithm (BA) is proposed to select the optimal subset of features for an idS. The BA is used to generate a subset of features, and the id3 algorithm is used as a classifier. The proposed model is applied on KDD Cup 99 dataset. The obtained results show that the feature subset generated by the proposed id3-BA gives a higher accuracy and detection rate with a lower false alarm rate when compared to the results obtained by using all features.

关键词： Intrusion detection system id3 algorithm bees algorithm feature selection

来源：评论

学校读者我要写书评

暂无评论

An Improved id3 classification algorithm for solving the backbone of proposition formulae 18

An Improved ID3 classification algorithm for solving the bac...

引用

18th IEEE International Conference on Pervasive Intelligent and Computing (PICom)

作者： Liang, Tian Wang, Xiaofeng Wang, Shuai Wang, Xingkai North Minzu Univ Dept Comp Sci & Engn Yinchuan 750021 Ningxia Peoples R China

ISBN: (纸本)9781728166094

Backbone is a set of special variables of propositional formula, while it had important applications in 3-sat problems and SAT-based applications, so it is very important to solve the backbone efficiently. This paper proposed id3_backbone algorithm for computing backbones of proposition formulae, this is because the principle of id3 algorithm is to calculate the attribute information gain to determine the decision attribute, which can reduce the number of calls to the SAT solver. Experiments showed: id3_Backbone algorithm can guarantee 75% accuracy under the condition of improving the efficiency, it propose an effective method to solve the problem of backbone set.

关键词： backbone boolean formulae id3 algorithm

来源：评论

学校读者我要写书评

暂无评论

Spam Email Detection using id3 algorithm and Hidden Markov Model

Spam Email Detection using ID3 Algorithm and Hidden Markov M...

引用

Conference on Information and Communication Technology

作者： Vikrant Kumar Monika Parveen Kumar Ambalika Sharma National Institute of Technology Uttarakhand Indian Institute of Technology Roorkee

ISBN: (纸本)9781538682166

Emails are the way to communicate over the Internet but this method of communication is bothersome by the Spam emails. Spam emails are the waste of memory, money, time and communication bandwidth. Thus, Spam emails needed to be identified and culminated. Hence, use of the id3 algorithm for making the decision trees and the Hidden Markov Model for calculating the probabilities of the events that may occur is used in this paper as a combination to identify the emails as Spam or ham. The model labels the emails as Spam or ham by calculating total probability of an email using all posteriorly classified words in emails and then supervising all processed emails by making their decision trees. For this purpose, an Enron dataset of 5172 emails is used that contains 2086 Spam and 2086 ham pre-classified emails. The experimental result on the given dataset shows that an accuracy of 89% is obtained on the Spam emails.

关键词： id3 algorithm Case-folding Stemming Lemmatization Hidden markov model

来源：评论

学校读者我要写书评

暂无评论

Improved classification algorithm by minsup and minconf based on id3

Improved classification algorithm by minsup and minconf base...

引用

13th International Conference on Management Science and Engineering

作者： Wu Sen Wu Ling-yu Long Yu Gao Xue-dong Univ Sci & Technol Beijing Sch Management Beijing 100083 Peoples R China

ISBN: (纸本)7560323553

id3 algorithm as a classical decision tree algorithm has been used broadly for its simple idea, facile realization, effectiveness and efficiency. Furthermore, lots of related algorithms have been proposed to improve id3 on different aspects such as id4, C4.5 and so on. In this paper, we propose the improved classification algorithm by minsup and minconf based on id3 to decrease the data amount and reduce the impact of data with poor-quality. This improved algorithm introduces two new concepts,support of test attribute set to class' and 'rule confidence', which are used to improve the decision tree construction process by both prepruning and postpruning and ultimately to increase the efficiency and effectiveness of classification. Both theoretical analysis and test show that the improved algorithm avoids constructing a large decision tree with lots of branches which contains little information by reducing the size of data set during building process and pruning the useless rules from the built decision tree. It weakens the affect of poor quality data and produces a more appropriate decision tree finally.

关键词： classification data mining id3 algorithm minimum support rule confidence

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：