7 resultados para Weighted Lebesgue Space

em Bulgarian Digital Mathematics Library at IMI-BAS


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Mathematics Subject Classification: Primary 42B20, 42B25, 42B35

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2000 Math. Subject Classification: Primary 42B20, 42B25, 42B35

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2000 Mathematics Subject Classification: 45A05, 45B05, 45E05,45P05, 46E30

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Mathematics Subject Classification: 26D10.

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Sequential pattern mining is an important subject in data mining with broad applications in many different areas. However, previous sequential mining algorithms mostly aimed to calculate the number of occurrences (the support) without regard to the degree of importance of different data items. In this paper, we propose to explore the search space of subsequences with normalized weights. We are not only interested in the number of occurrences of the sequences (supports of sequences), but also concerned about importance of sequences (weights). When generating subsequence candidates we use both the support and the weight of the candidates while maintaining the downward closure property of these patterns which allows to accelerate the process of candidate generation.

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2000 Mathematics Subject Classification: 35S05.

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2000 Mathematics Subject Classification: 42A45.