Efficiently mining long patterns from databases

作者: Roberto J. Bayardo

DOI: 10.1145/276304.276313

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摘要: We present a pattern-mining algorithm that scales roughly linearly in the number of maximal patterns embedded database irrespective length longest pattern. In comparison, previous algorithms based on Apriori scale exponentially with pattern length. Experiments real data show when are long, our is more efficient by an order magnitude or more.

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