Mining Closed Itemsets in Data Stream Using Formal Concept Analysis

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• 作者：Anamika Gupta ; Vasudha Bhatnagar ; Naveen Kumar
• 关键词：Closed Itemsets ; Data Stream ; Landmark Window Model Formal Concept Analysis
• 刊名：Lecture Notes in Computer Science
• 出版年：2010
• 出版时间：2010
• 年：2010
• 卷：6263
• 期：1
• 页码：285-296
• 全文大小：276.8 KB

文摘

Mining of frequent closed itemsets has been shown to be more efficient than mining frequent itemsets for generating non-redundant association rules. The task is challenging in data stream environment because of the unbounded nature and no-second-look characteristics.