After twenty years of development, data mining has become a key research topic in areas of machine learning and artificial intelligence since it first appeared in the late 80s. At present, feature extraction, attribute reduction, improvement of algorithm efficiency and classification accuracy and application of relevant methods in the specific areas are the focus of
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The value of an attribute about some object in information systems may be the range, not often a single numerical value, we name this information system as interval-valued information system. As an important model for data description, interval-valued information system has been widely applied in construction, scientific research, stock analysis, fault detection and intelligent decision-making.
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The value of an attribute about some object in information systems may be the range, not often a single numerical value, we name this information system as interval-valued information system. As an important model for data description, interval-valued information system has been widely applied in construction, scientific research, stock analysis, fault detection and intelligent decision-making.
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Rough sets theory, proposed by Pawlak in 1982, is a mathematic tool to deal with uncertain, incomplete and fuzzy data. It has been used to find the potential information which we want or derive decision of problem. Through 30 years development, Rough has been successfully implemented in Machine Learning, Knowledge Discovery, Decision Analysis, Pattern Recognition,
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As an active network security technology, intrusion detection can not only find outer intruders’attack, but also detect inner legal users’unauthorized operation. Hence, it is regarded as the second network security gate behind firewall. At present, many researchers have applied support vector machine(SVM) as a machine learning method to intrusion detection and obtained certain studying achievements.
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As the network security quickly has developed recent years, the methods of network attack have been changed a lot in many aspects, so that network security need to be further improved. Intrusion detection, as a proactive defense security technology, has attracted most attention of not only researchers but also vast commercial application companies. In intrusion
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As information technology and database technology developing rapidly, people every day face the enormous amount of data,Data mining is a technology that dedicated to data analysis and understanding, revealing hidden knowledge of the internal data ,and is currently a very active area of research of AI. Rough set theory is an effective way of dealing
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The Urban road traffic congestion and jam has become the world’s large and medium cities common phenomenon, traffic intelligent control is to settle this problem with one of the most effective way. Implement intelligent traffic control not only to improve the safety of the traffic, production efficiency and effectiveness, and land resources and related to
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In this paper, we address the attributes reduction problem of real data. Attribute reduction is reducing condition attribute of decision table with the invariant classification capability in the decision table. Using the rough sets characteristic that only depends on original data and have no association with the information except original data, we make rough set
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As development of the database technology and application of database management system, huge amounts of information is stored up in different forms of data. Data mining is a kind of data processing technology to get valuable and developed information from these data. The attributes of these data are not equally important, even some attributes are
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