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The paper deals with the following topics: granular computing; data mining; fuzzy logic; information systems; Internet; fuzzy set theory; rough set theory; image processing; association rules; data security; Web services; cryptography; mobile computing; and support vector machines.
Presently, in the data mining scenario clustering of large dataset is one of the very important techniques widely applied to many applications including social network analysis. Applying more specific pre-processing method to prepare the data for clustering algorithms is considered to be a significant step for generating meaningful segments. In this paper we propose an innovative clustering technique...
Discovery the association between web pages is an important task as the rapid growth of web data. This article uses the fuzzy method to discover generalized fuzzy association rules among theWeb pages fromWeb logs. In the paper, whether a web page is visited or not and time duration on it are considered two important factors to reflect users' interest and preference. Numerical time duration is fuzzified...
It is important for Web search engine providers to study user behaviour in order to have a better understanding of how customers interact with search engines so that they can improve users' overall search experience. However, user behaviour in a search engine is complicated and affected by various factors, e.g. query length, intention/context/time when queries are submitted, etc. It is interesting...
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,...
Breast cancer is the second most common cancer worldwide and the fifth most common cause of cancer death. There are many prognostic factors associated with breast cancer which are usually considered when determining how cancer will affect a patient. In addition, distinct molecular subtypes of breast tumors have been described by gene expression profiling. In this work we integrate information from...
Recent attacks demonstrated that network intrusions have become a major threat to Internet. Systems are employed to detect internet anomaly play a vital role in Internet security. To solve this problem, a technique called frequent episode rules (FERs) base on data mining has been introduced into anomaly detection system (ADS). These episode rules are used to distinguish anomalous sequences of TCP,...
We address, by means of fuzzy linguistic summaries, two related problems: summarizing network flow statistics and making these statistics human-readable. Two complementary summarization methods are developed. First, a fixed set of protoforms of interest is defined, and the ones with a higher truth value are shown to the user as simple on-line summaries. This first method is suitable for real-time...
With the rapid evolution of Internet and the broad application of computer technology, the number of electronic texts increases quickly. Classifying these texts effectively becomes more and more important. This paper proposes a novel approach for automatic Chinese text categorization. By introducing fuzzy sets concept, it improves the existing categorization approaches based on association rules....
With the traveling records of browsers, one can analyze the preference of pages, further understand the demands of consumers, and promote the advertising and marketing. In this study, we use maximum forward reference (MFR) algorithm to find the travel pattern of browsers from Web logs. Simultaneously, experts are asked to evaluate the fuzzy importance weightings for different Webs. At last, we employ...
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