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Finding frequent itemsets is one of the most important issues in mining data streams for many applications such as web click stream mining, sensor networks, and network traffic analysis. Most prominent algorithms for traditional transaction databases need multiple scans, therefore, they are not suitable for data streams which are continuous, unbounded, usually come with high speed. In this paper,...
There exist emerging applications of data streams that require association rules mining, such as web click stream mining, sensor networks, and network traffic analysis. In order to efficiently trace the changes of association rules over data streams which are continuous, unbounded, usually come with high speed, in this paper we propose Fd-tree method which requires no scanning of the whole data stream...
The design of a graph data structure, the memory structure and the breadth first search traversing algorithm are proposed. This algorithm can make the graph implement traversing in DNA computer. Finally, in order to prove the feasibility of the method, an actual example describes the implementing of the algorithm is given out. On the basis of the experimental theory of bio-molecular, the algorithm...
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