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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...

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...

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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...

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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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comparison of decision tree-fuzzy and rough set-fuzzy methods for fault categorization of mono-block centrifugal pump

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MEcHANIcAL SYSTEMS AND SIGNAL PROcESSING 2010年第6期24卷 1887-1906页

作者： Sakthivel, N. R. Sugumaran, V. Nair, Binoy. B. Amrita Sch Engn Dept Mech Engn Coimbatore 641105 Tamil Nadu India SRM Univ Dept Mechatron Engn Madras 603203 Tamil Nadu India Amrita Sch Engn Dept Elect & Commun Engn Coimbatore 641105 Tamil Nadu India

Mono-block centrifugal pumps are widely used in a variety of applications. In many applications the role of mono-block centrifugal pump is critical and condition monitoring is essential. Vibration based continuous monitoring and analysis using machine learning approach is gaining momentum. Particularly, artificial neural networks, fuzzy logic have been employed for continuous monitoring and fault diagnosis. This paper presents the use of decision tree and rough sets to generate the rules from statistical features extracted from vibration signals under good and faulty conditions of a mono-block centrifugal pump. A fuzzy classifier is built using decision tree and rough set rules and tested using test data. The results obtained using decision tree rules and those obtained using rough set rules are compared. Finally, the accuracy of a principle component analysis based decision tree-fuzzy system is also evaluated. The study reveals that overall classification accuracy obtained by the decision tree-fuzzy hybrid system is to some extent better than the rough set-fuzzy hybrid system. (c) 2010 Elsevier Ltd. All rights reserved.

关键词： Mono-block centrifugal pump c4.5 algorithm Fault diagnosis Statistical features Rough set Fuzzy logic Principle component analysis

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Vibration based fault diagnosis of monoblock centrifugal pump using decision tree

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EXPERT SYSTEMS WITH APPLIcATIONS 2010年第6期37卷 4040-4049页

作者： Sakthivel, N. R. Sugumaran, V. Babudevasenapati, S. SRM Univ Dept Mech Engn Madras Tamil Nadu India Amrita Sch Engn Dept Mech Engn Coimbatore 641105 Tamil Nadu India

Monoblock centrifugal pumps are widely used in a variety of applications. In many applications the role of monoblock centrifugal pump is critical and condition monitoring is essential. Vibration based continuous monitoring and analysis using machine learning approaches are gaining momentum. Particularly artificial neural networks, fuzzy logic were employed for continuous monitoring and fault diagnosis. This paper presents the use of c4.5 decision tree algorithm for fault diagnosis through statistical feature extracted from vibration signals of good and faulty conditions. (c) 2009 Elsevier Ltd. All rights reserved.

关键词： Monoblock centrifugal pump c4.5 algorithm Fault diagnosis Statistical features

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An adaptive method for selecting question pools using c4.5

An adaptive method for selecting question pools using C4.5

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International conference on Advanced Learning Technologies

作者： Seet, Ahmad Mustafa Zualkernan, Imran A. Computer Science and Engineering American University of Sharjah Sharjah United Arab Emirates

ISBN: (纸本)9780769540559

A number of adaptive mechanisms for asking questions have been proposed. This paper presents a novel adaptive method for selecting questions from various pools of questions. The method uses a state-diagram to represent various question pools where transitions between the states are dynamically modified to generate the optimal pool of questions for the next question. c4.5 is used to close the loop on adaptive selection of questions. A case study showing how the method was implemented for an online environmental game is presented and evaluated. © 2010 IEEE.

关键词： c4.5 c4.5 algorithm adaptive mechanisms adaptive testing computer aided instruction computer games decision trees online environmental game question pool selection selecting questions state diagram

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Application of Data Mining for Decision Tree Model of Multi-variety Discrete Production and Manufacture

Application of Data Mining for Decision Tree Model of Multi-...

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3rd International Symposium on Intelligent Information Technology and Security Informatics

作者： Sun, Jianfang South China Univ Technol Sch Mech & Automot Engn Guangzhou Guangdong Peoples R China

ISBN: (纸本)9780769540207

In this paper, taking the decision attributes, including order number, product number, manhour and comprehensive evaluation into account, the decision tree model of discrete production and manufacture has been presented. And c4.5 algorithm has been used to construct the decision tree recursively in a topdown manner, in which the topmost node is the root node, each internal node denotes an attribute test, each branch represents an outcome of the test, and each leaf node represents classes. Then RFc (Remote Function call) has been used to extract data from SAP (Systems Applications and Products in Data Processing) R/3 system to decision-making database, and DTS (Data Transformation Service) used to extract data from MES (Manufacturing Execution System) to decision-making database, which can supply useful data resource for data mining. Finally, a case study has been analyzed to show the application of the decision tree model. The decision tree has been implied to be references to the real discrete production and manufacture.

关键词： data mining discrete production and manufacture decision tree c4.5 algorithm

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Application comparison of Association Rules and c4.5 Rules in Land Evaluation

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Agricultural Science & Technology 2010年第4期000卷 144-147页

作者： Ting LI Jingfeng YANG Zhimin cHEN 中山火炬职业技术学院广东中山528436 广东融讯信息科技有限公司广东广州510656 广东瑞图万方科技股份有限公司广东顺德528305 广东融讯信息科技有限公司广东广州510656 华南农业大学公共基础课实验教学中心广东广州510642

Association rules and c4.5 rules can overcome the shortage of the traditional land evaluation methods and improve the intelligibility and efficiency of the land evaluation knowledge. In order to compare these two kinds of classification rules in the application, two fuzzy classifiers were established by combining with fuzzy decision algorithm especially based on Second General Soil Survey of Guangdong Province. The results of experiments demonstrated that the fuzzy classifier based on association rules obtain a higher accuracy rate, but with more complex calculation process and more computational overhead; the fuzzy classifier based on c4.5 rules obtain a slightly lower accuracy, but with fast computation and simpler calculation.

关键词： Land evaluation Association rules c4.5 algorithm Fuzzy decision

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Forecasting Model of Agro-meteorological Disaster Grade Based on Decision Tree

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Meteorological and Environmental Research 2010年第2期1卷 85-87,90页

作者：司巧梅牡丹江师范学院计算机科学与技术系黑龙江牡丹江157012

Based on the discuss of the basic concept of data mining technology and the decision tree method,combining with the data samples of wind and hailstorm disasters in some counties of Mudanjiang region,the forecasting model of agro-meteorological disaster grade was established by adopting the c4.5 classification algorithm of decision tree,which can forecast the direct economic loss degree to provide rational data mining model and obtain effective analysis results.

关键词： Data mining Agro-meteorology Decision tree c4.5 algorithm classification mining china

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A Sub-health Risk Appraisal Model Based On Decision Tree and Rough Sets

A Sub-health Risk Appraisal Model Based On Decision Tree and...

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2010 3rd IEEE International conference on computer Science and Information Technology—IccSIT 2010

作者： Xin Lu School of Software University of Electronic Science and Technology of china (UESTc) cheng du, china Licheng Liu School of Software University of Electronic Science and Technology of china (UESTc) cheng du, china

There are some problems in people's sub-health risk appraisal using current technology, for example, incomplete data, bias in the diagnosis and can not effectively predict participant's the future health state. This paper presents a sub-health risk appraisal method based on data mining technique to resolve these issues. By introduction the rough sets preprocessing risk appraisal noise data, extraction of information entropy in the training set, combined with c4.5 decision tree algorithm, it established the sub-health risk appraisal prediction model. Experimental results confirm that this model than the normal method of decision tree model has higher prediction accuracy of sub-health state.

关键词： sub-health data preprocessing rough sets c4.5 algorithm

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