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本附件包括：

• CHARM An Efficient Algorithm for Closet Itemset Mining.pdf
• CLOSET An Efficient Algorithm for Mining Frequent Closed Itemsets.pdf
• Data Mining-The Next Generation.pdf
• Database Mining a Performance Perspective.pdf
• Dynamic itemset counting and implication rules for market basket data.pdf
• Efficient Similarity Search in Sequence Database.pdf
• Efficiently mining long patterns from databases.pdf
• Fast Algorithms for Mining Association Rules.pdf
• High-dimensional similarity joins.pdf
• Integrating association rule mining with relational database systems Alternatives and implications.pdf
• Mining Association Rules between Sets of Items in Large Databases.pdf
• Mining Frequent Patterns without Candidate Generation (extended version).pdf
• Sampling large databases for association rules.pdf
• Turbo-charging Vertical Mining of Large Databases.pdf
• vldb94apriori_rj.pdf
• An Eective Hash-Based Algorithm for Mining Association Rules.pdf
• An Eective Hash-Based Algorithm for Mining Association Rules.ps
• An efficient algorithm for mining association in large databases.pdf
• An Interval Classifier for Database Mining Applications.pdf
• Automatic Subspace Clustering of High Dimensional Data.pdf
• Beyond market basket Generalizing association rules to correlations.pdf