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In this paper, a novel approach is presented to solve the problems of dynamic data mining(DM) such as low effectiveness, high randomness and hard implementation. With the extension of the concept data mining process, the evolutionary and immune characteristics in dynamic mining are first illustrated respectively, based on the facts of the relationship between data mining tasks and the global optimization...
A new algorithm of Web text clustering mining is presented, which is based on the Discovery Feature Sub-space Model (DFSSM). This algorithm includes the training stage of SOM and the clustering stage, which characterizes self-stability and powerful antinoise ability. It can distinguishes the most meaningful features from the Concept Space without the evaluation function. we have applied the algorithm...
In this paper, we simply introduce some new types of intelligent decision support system, such as group decision support system, distributed decision support system, intelligent, interactive and integrated decision support system and intelligent decision support system based on knowledge discovery. And then intelligent decision support system based on natural language understanding is discussed in...
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