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Data mining can find some interest information from large amounts of data. Data association (association rules) can find associations among data items. Data classification distinguishes every data from a data set or group, and it also can combine data association. Formal concept analysis is a data analyzing theory which discovers concept structure in data sets. It can transform formal context into...
In this paper, the proposed scheme detects database tampering by embedding the important characteristics of the original database. The association rule of frequent pattern tree (FP-tree) data mining is utilized to determine the relationship existing among the protected attributes and others in the database. Meanwhile, support vector regression (SVR) is applied to predict each protected attribute value...
In this paper, a method combining Genetic Network Programming-based class association rule mining and Neural Networks is proposed for continuous traveling time prediction. Genetic Network Programming (GNP)[1], as an extended algorithm of GP[2], shows its advantage because of its graph structures. GNP is used to generate class association rules[3]. Then, the average matching degree of the data with...
In this paper, a method of Chinese question classification based on the mining association rules is proposed. Words and Bi-gram are extracted from question as classific features. The method can mine the association rules between the type of the question and its classific features, to construct an association rules - based database. At last the type of the question is marked by choosing the type which...
Knowledge Discovery in Databases (KDD) is a complex interactive and iterative process which involves many steps that must be done sequentially. Supporting the whole KDD process has enjoyed a great popularity in recent years, with advances in research. We however still lack of a generally accepted underlying framework and this hinders the further development of the field. We believe that the quest...
Putting forward a system model based on association rule mining and improving the FP-Growth algorithm based on associative analysis. The experimental result shows that the network intrusion detection developed by this paper can work stably, find out intrusion activities accurately and promptly, improve the speed of data mining effectively, enhance the detective ability of intrusion detection greatly,...
Computer systems are exposed to an increasing number and type of security threats due to the expanding of Internet in recent years. How to detect network intrusions effectively becomes an important techniques. This paper presents a novel fuzzy class association rule mining method based on Genetic Network Programming (GNP) for detecting network intrusions. GNP is an evolutionary optimization techniques,...
Classification is an important task in both data mining and machine learning communities. In this paper we present a method to build a categorization system that merges association rule mining task with the classification problem.A classifier is built by applying a learning method to a training set of objects. In this case the learning method is represented by the association rule mining and used...
Numerous attacks made by the malware have presented serious threats to the security of computer users. Unfortunately, along with the development of the malware writing techniques, the number of file samples that need to be analyzed is constantly increasing on a daily basis. An automatic and robust tool to analyze and classify the file samples is the need of the hour. In this paper, resting on the...
Associative classification is a novel and powerful method originating from association rule mining. In the previous studies, a relatively small number of high-quality association rules were used in the prediction. We propose a new approach in which a large number of association rules are generated. Then, the rules are filtered using a new method which is equivalent to a deterministic Boosting algorithm...
In Thailand, there are many Technology Transfer Centers (TTC) located in every district of the country. However, the evaluation of their performance is difficult and complex since TTCs are different in size, location, type of training and expertise. Accordingly, the study of TTC project performance in Thailand is scanty due to the limitations of confidentiality. This study uses data mining techniques...
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