Titlebook: Database Systems for Advanced Applications; 15th International C Hiroyuki Kitagawa,Yoshiharu Ishikawa,Chiemi Watana Conference proceedings

obstruct

Fantastic Floating Weeds and How to Use Themnique utilizes a filter-and-refine manner to prune regions that are not likely to be part of the top-. results, and refine the remaining regions. Experimental study based on a real world dataset verifies the effectiveness of the proposed region similarity measure and the efficiency of the algorithm.

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四目在模仿

Contaminants and Ecological Subsidies is called ., to process probabilistic XML data based on element streams in document order, and the other is called ., based on the element streams ordered by the path probability values. Experiments have been conducted to study the performance of these algorithms.

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CAMLS: A Constraint-Based Apriori Algorithm for Mining Long Sequenceses allows us to: (i) introduce a novel candidate pruning strategy that increases the efficiency of the mining process and (ii) easily incorporate considerations of intra-event and inter-event constraints. Experiments on both synthetic and real datasets show that CAMLS outperforms previous algorithms when mining long sequences.

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有毛就脱毛

insightful

Mining Rare Association Rules in the Datasets with Widely Varying Items’ Frequencieses in a dataset vary widely. In this paper, we exploit the notion of “item-to-pattern difference” and propose multiple . based FP-growth-like approach to efficiently discover rare association rules. Experimental results show that the proposed approach is efficient.

Deduct

Discovering Burst Areas in Fast Evolving Graphsming in a high speed, the solution should be capable of handling a large amount of evolutions in short time and returning the top-. results as soon as possible. The experimental results on real data sets show that our proposed solution is very efficient and effective.

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