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检索条件"主题词=C4.5 Algorithm"

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Research And Application Of credit Score Based On Decision Tree Model

Research And Application Of Credit Score Based On Decision T...

引用

2010 The 3rd International conference on computational Intelligence and Industrial Application (PAcIIA2010)

作者： Jiang Wei-Li college of Finance, The University of Zhejiang Gongshang

In order to timely and properly analyse the customer credit assessment, and to speed up the decision-making speed, here introduced the application of data mining technology used in the bank on the users" evaluation, and establish a decision tree model of customer credit evaluation which is aimed at improving the credit rating quality . And introduced the basic process of decision tree algorithm. Bank customer's credit is classified as background. Using the decision tree algorithm c4.5 as the most classic tools, specific studies of business understanding, data understanding, data preparation, modeling, evaluation and implementation of aspects of publishing have been done. customer credit, using the decision tree classification algorithm, obtained a series of decision rules with which a bank to make the right decisions.

关键词： credit rating data mining decision tree c4.5 algorithm

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Improving network security using machine learning techniques

Improving network security using machine learning techniques

引用

IEEE International conference on computational Intelligence and computing Research

作者： Shaik Akbar J. A. chandulal K. Nageswara Rao G. Sudheer Kumar Department of Computer Science and Engineering SVIET Nandamuru Andhra Pradesh India Department of Computer Science and Engineering GITAM University Visakhapatnam Andhra Pradesh India Department of Computer Science and Engineering P.V.P. S. I .Technology Vijayawada Andhra Pradesh India

ISBN: (纸本)9781467313421

Discovery of malicious correlations in computer networks has been an emergent problem motivating extensive research in computer science to develop improved intrusion detecting systems (IDS). In this manuscript, we present a machine learning approach known as Decision Tree (c4.5) algorithm and Genetic algorithm, to classify such risky/attack type of connections. The algorithm obtains into consideration dissimilar features in network connections and to create a classification rule set. Every rule in rule set recognizes a particular attack type. For this research, we implement a GA, c.45 and educated it on the KDD cup 99 data set to create a rule set that can be functional to the IDS to recognize and categorize dissimilar varieties of assault links. During our study, we have developed a rule set contain of six rules to classify six dissimilar attack type of connections that fall into 4 modules namely DoS, U2R, root to local and probing attacks. The rule produces works with 93.70% correctness for detecting the denial of service type of attack connections, and with significant accuracy for detecting the root to local, user to root and probe connections. Results from our experiment have given hopeful results towards applying enhanced genetic algorithm for NIDS.

关键词： Intrusion Detection Genetic algorithm c4.5 algorithm KDDcup'p99 computer networks Data mining

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Data Mining-Based Engineering Project Grading Technique

Data Mining-Based Engineering Project Grading Technique

引用

7th World congress on Intelligent control and Automation (WcIcA 2008), vol.9

作者： chunguang chang Xiaoyu Song Bo Gao Fanwen Kong School of Management Shenyang Jianzhu University Shenyang Liaoning China Advanced Manufacturing Technology Laboratory Shenyang Institute of Automation Chinese Academy of Sciences Shenyang Liaoning China

The purpose of this paper is to improve the quality of engineering project grading, the basic processes of data mining technique are introduced. Taking the engineering project grading as background, the implement cycles such as business understanding, data understanding, data preparation, modeling, evaluation and deployment are studied in detail. During modeling, the decision tree is adopted as analyzing modeling, and the conventional c4.5 algorithm is adapted. The adapted algorithm is applied to the engineering project grading, and its result is compared with that of conventional c4.5 algorithm. The comparing result demonstrates that for the complex system such as engineering project grading, it can improve in a certain extent on precision and obtained structure of decision tree, it can improve the quality of engineering project grading.

关键词： Data mining Engineering project Grading Decision tree c4.5 algorithm

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A MODEL FOR WEBSITE ANOMALY DETEcTION BASED ON LOG ANALYSIS

A MODEL FOR WEBSITE ANOMALY DETECTION BASED ON LOG ANALYSIS

引用

2014 IEEE 3rd International conference on cloud computing and Intelligence Systems

作者： Xu Han Tao Lv Lin Wei Yanyan Wu Jianyi Liu cong Wang Beijing University of Posts and Telecommunications

To found security events from web logs has become an important aspect of network *** paper proposes a website anomaly detection model based on *** creating a anomaly feature sets of the model,c4.5 algorithm was used to improve feature sets,making the abnormal records in feature sets store *** logs in website with the treated feature stes,the model ultimately achieves the purpose of checking website’s security event fast and accurately.

关键词： Log analysis Anomaly detection c4.5 algorithm Feature sets

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An intrusion detection algorithm based on decision tree technology

An intrusion detection algorithm based on decision tree tech...

引用

2009 Asia-Pacific conference on Information Processing

作者： Juan Wang computer and Network center Guizhou University for Nationalities Guiyang, china Qiren Yang computer and Network center Guizhou University for Nationalities Guiyang, china Dasen Ren computer and Network center Guizhou University for Nationalities Guiyang, china

Traditional intrusion detection technology exists a lot of problems, such as low performance, low intelligent level, high false alarm rate, high false negative rate and so on. In this paper, c4.5 decision tree classification method is used to build an effective decision tree for intrusion detection, then convert the decision tree into rules and save them into the knowledge base of intrusion detection system. These rules are used to judge whether the new network behavior is normal or abnormal. Experiments show that: the detection accuracy rate of intrusion detection algorithm based on c4.5 decision tree is over 90%, and the process of constructing rules is easy to understand, so it is an effective method for intrusion detection.

关键词： c4.5 algorithm intrusion detection data mining decision tree

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Extract Voltage Stability Operating Guidelines using Decision Tree

Extract Voltage Stability Operating Guidelines using Decisio...

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2016 4th International conference on Electrical&Electronics Engineering and computer Science(IcEEEcS 2016)

作者： Dengfeng Li Xiangfei Meng Ruilin Xu Xiaojun Zhu Ke Zhao Yi He Pei Zhang Chongqing Electric Power Research Institute Chongqing Electric Power Corp.State Grid Corporation of China School of Electrical Engineering Beijing Jiaotong University

ISBN: (纸本)9781510835429

The operational planners in power grid companies perform a large number of offline voltage stability studies for a variety of operating conditions. How to effectively determine voltage stability limits from massive amount of offline data has become a challenge for operational planners. This paper applies decision tree(DT) to extract operating guidelines from off-line analysis results. case study results on a practical power system prove that voltage stability operating guidelines, which are extracted by decision tree, can be used by system operators for online monitoring and control of electric power systems.

关键词： Voltage Stability Operating Guideline Decision Tree c4.5 algorithm

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construction of Decision Analysis System Based on Improved Decision Tree Pruning algorithm and Rough Set classification Theory

Construction of Decision Analysis System Based on Improved D...

引用

2019 9th International conference on Education and Social Science(IcESS 2019)

作者： Lan Wang Hongsheng Xu Luoyang Normal University

Decision trees are generally generated from top to bottom,and each decision or event may lead to two or more *** set is characterized by the use of imprecise,uncertain,partial real information to obtain easy to process,robust,low-cost decision-making *** tree method is widely used in enterprise *** sets use upper and lower approximations to describe uncertainty,which makes the boundary clear and reduces the randomness of algorithm *** paper presents construction of decision analysis system based on improved decision tree pruning algorithm and rough set classification Theory.

关键词： Pruning algorithm Decision tree Rough set c4.5 algorithm classification reduction

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Application of Data Mining in the Analysis of Needs of University Library Users

Application of Data Mining in the Analysis of Needs of Unive...

引用

The 6th International conference on computer Science & Education(第六届国际计算机新科技与教育学术会议 IccSE 2011)

作者： Tingting Zhu Lili Zhang Library Changchun Institute of Technology Changchun China Department of Science and Technology Changchun Institute of Technology Changchun China

In order to provide decision and guidance for the future development of libraries, based on the Data Mining Decision Tree c4.5 algorithm, taking the library of changchun Institute of Technology as an example, by structuring decision tree and mining the factors which restrain users from using the library digital resource, the author gets some potential links among the factors affacting the using of library digital resource, the needs of university library users can be analyzed effectively with this algorithm.

关键词： c4.5 algorithm decision tree university library

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A Method for HTTP-Tunnel Detection Based on Statistical Features of Traffic

A Method for HTTP-Tunnel Detection Based on Statistical Feat...

引用

2011 IEEE 3rd International conference on communication Software and Networks(IccSN 2011)

作者： Yao-jun DING Department of computer Northwestern Polytechnical University Xi’an,chinaWan-dong cAI Department of computer Northwestern Polytechnical University Xi’an,china

HTTP-tunnel is always used by Trojans and backdoors to avoid the detection of firewalls,and it is a threat of network ***-tunnel traffic is encrypted now, and the only way to detect the HTTP-tunnel traffic is based on statistical features of transport *** are a few methods in detection of HTTP-tunnel,and the statistical fingerprinting is an effective *** method of statistical fingerprinting is instability because the features which the method using is the packet size and the inter-arrival time,and its accuracy is determined by the volume of training *** suggested a method based on c4.5 algorithm which using the features of packet and *** to the algorithm of fingerprint,the c4.5 algorithm had some advantages in stability,accuracy and efficiency in our experiment.

关键词： HTTP-Tunnel Statistical Fingerprinting c4.5 algorithm Network Security

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A Method for HTTP-Tunnel Detection Based on Statistical Features of Traffic

A Method for HTTP-Tunnel Detection Based on Statistical Feat...

引用

2011 IEEE 3rd International conference on communication Software and Networks(2011第三届通信软件与网络国际会议 IccSN2011)

作者： Yao-jun DING Wan-dong cAI Department of Computer Northwestern Polytechnical University Xi'an China

HTTP-tunnel is always used by Trojans and backdoors to avoid the detection of firewalls, and it is a threat of network security. HTTP-tunnel traffic is encrypted now, and the only way to detect the HTTPtunnel traffic is based on statistical features of transport layer. There are a few methods in detection of HTTP-tunnel, and the statistical fingerprinting is an effective method. The method of statistical fingerprinting is instability because the features which the method using is the packet size and the inter-arrival time, and its accuracy is determined by the volume of training set We suggested a method based on c4.5 algorithm which using the features of packet and flow. comparing to the algorithm of fingerprint, the c4.5 algorithm had some advantages in stability, accuracy and efficiency in our experiment

关键词： HTTP-Tunnel Statistical Fingerprinting c4.5 algorithm Network Security

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