Finding Frequent Closed Itemsets in Sliding Window in Linear Time
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- Finding Frequent Closed Itemsets in Sliding Window in Linear Time
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An efficient algorithm for incrementally mining frequent closed itemsets
The purpose of mining frequent itemsets is to identify the items in groups that always appear together and exceed the user-specified threshold of a transaction database. However, numerous frequent itemsets may exist in a transaction database, hindering ...
Fast and Memory Efficient Mining of Frequent Closed Itemsets
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Dataless Transitions Between Concise Representations of Frequent Patterns
For many data mining problems in order to solve them it is required to discover frequent patterns. Frequent itemsets are useful e.g. in the discovery of association and episode rules, sequential patterns and clusters. Nevertheless, the number of ...
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Oxford University Press, Inc.
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