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In order to conduct effectively data mining to the abnormal data in the mass tax data to get decision rules of tax information system, a decision rules mining algorithm based on positive approximation is proposed, which is based on the traditional rough set theory and the decision-making table of coordination. A practice applied in tax monitoring table in a tax department is validated, which shows...
As the rapid development of the Internet, mining users' useful information from Web log has become the hot research, which plays an important guiding role in developing and making use of the Web. Firstly, pre-dealing with Web log, analyzing the main factors of Web users' visiting interests. Afterwards rules mining model of Web users' visiting interest is formed that based on rough set theorem, from...
For highly mine with mash gas, a fault location method of rough set theory for mine ventilator is presented, where fault attributes are divided into ten kinds, these decision tables of blocking partition are established; the rough set core of every decision table is got through reduction; the blocking tables with the dissimilarity fault kind combined to make a decision table; then the minimum decision...
The essence and process of attribute value reduction is analyzed from the view of logic. Then a new algorithm for attribute value reduction based on rough set is proposed by constructing a discernible matrix and the correctness and feasibility is proved. In addition, the experiment shows that the algorithm is effective and it is easy to be realized by programming. Not only it can get more concise...
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