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As the Internet services spread all over the world, many kinds and a large number of security threats are increasing. Therefore, intrusion detection systems, which can effectively detect intrusion accesses, have attracted attention. This paper describes a novel fuzzy class-association-rule mining method based on genetic network programming (GNP) for detecting network intrusions. GNP is an evolutionary...
Security of computers and the networks that connect them is increasingly becoming of great significance. As an effect, building effective intrusion detection models with good accuracy and real-time performance are essential. In this paper we propose a new data mining based technique for intrusion detection using Cost-sensitive classification and Support Vector Machines. We introduced an algorithm...
This paper considers and suggests efficient patrol of nurses from analysis result of nurse calls log. As the method of analysis, we consider applying Bayesian network. This is one of probability model that is available for prospects of a phenomenon, rational mind decision and so on. In conventional studies, correlation coefficient was used to examine relation between phenomena. However, we could analyze...
In data mining approach, the quantitative attributes should be appropriately dealt with as well as the Boolean attributes. This paper presents a fast algorithm for extracting fuzzy association rules from database. The objective of the algorithm is to improve the computational time of mining for the actual application. In this paper, we propose a basic algorithm based on the Apriori algorithm for rule...
In order to save volume of home energy consumption effectively, this paper proposes the method for being aware of factors with influence on energy consumption and then confirms if it works for practical data by numerical experimentation. The basic idea is based on the combination of information entropy for the former and on Bayesian network for the latter. Using 345 responses for the questionnaire...
Artificial neural network is an important research direction in data mining. It is used to solve classification and regression problems, and can find out the nonlinear relation between the input attribute and the output attribute, especially the smooth and continuous nonlinear relations. Use the Microsoft neural network to find out how the meteorological factors influence the precipitation, and to...
Total Data Quality Management (TDQM) methodology claims that we should manage data as we manage products, but principles, guidelines, and techniques of Total Quality Management for physical products have limitations in TDQM practices because of the nature of data. Some concepts and models are proposed for resolving problems in TDQM practices. Firstly, history evolvement of product is discussed, and...
The internet resources are very rich, and the traditional search engines can accelerate the speed of network information retrieval. But the bilingual translation comparison pages' information in intemet are not fully used. So the combine of personalized search engine and the bilingual auxiliary translation become an important research subject at present. In this paper, basing on the large-scale network-based...
The steady advance and healthful development of new countryside construction must depend on the scientific planning. The planning must be based on the correct, complete and good-currency status maps. Aiming to the urgent needs in practice, four approaches to producing status base maps, including integrated approach, generalized approach, updated approach and real-surveyed approach, are comparatively...
Keyword extraction is an important application in the area of information technology. Automatic keyword extraction can help people know what is the article primarily talking about without reading the long passage carefully. This paper mainly introduced a keyword extraction algorithm using pagerank on Synonym. Firstly, the content in a single document is represented as a weighted synonym co-occurrence...
Support Vector Machine (SVM) is a useful technique for data classification with successful applications in different fields of bioinformatics, image segmentation, data mining, etc. A key problem of these methods is how to choose an optimal kernel and how to optimize its parameters in the learning process of SVM. The objective of this study is to propose a Genetic Algorithm approach for parameter optimization...
Data mining is a technology in data analysis with rising application in sports. Basketball is one of most popular sports. Due to its dynamics, a large number of events happen during a game. Basketball statisticians have task to note as many of these events as possible, in order to provide their analysis. In this paper, we used data from the First B basketball league for men in Serbia, for seasons...
Web sites may contain numerous documents. Using some web techniques, it's possible to analyze users' data about using resources, contents of those documents and structure of web sites. Adaptive web sites automatically change their structure and representation based on visitor's behavior. Shortcutting is an approach that enables connecting two documents which has never been connected before. Most of...
An on-line BSE algorithm with an adaptive learning rate is proposed. By indirectly studying one of the existing on-line BSE algorithms based on line predictability, the bound for the optimal learning rate which guarantees the convergence of the algorithm is derived. Based on the analysis results, an on-line algorithm with an adaptive learning rate is presented. Since the learning rates of the existing...
Aiming to increase the proportion of the samples that has been determinate classified in Naive Credal Classifier, this paper improves conservative inference rule and proposes an incomplete data classification model based on relaxed conservative inference rule. Simulation results of comparative experiment with Naive Bayesian Classifier and Naive Credal Classifier verify the effectiveness of this classification...
Deep mining will definitely cause high temperature mining face. This paper induces the primary and secondary importance of different factors that affect the thermal environment of high temperature working face by field data analysis and heat transmission mechanism analysis. It also shows the technical economical comparison and the effect analysis of different regulation technology and cooling methods...
There's myriad of accessible information deposited in Deep Web, and the amount of the information is increasing rapidly. With the development of web application, there're more and more online databases, which make Deep Web a hot research topic. For the convenience of searching information in Scientific Data Sharing Platform, this paper does research of Deep Web application, and presents a system architecture...
The relationship between parameter configurations of mechanical products are the main design rules that affect their work performance and the major factor that optimize product structure. However, the actual relationship of parameter configurations can't be gotten directly in the design specifications or the manual. Physical experimental methods are difficult to implement due to long cycle and high...
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