期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2016
卷号：84
期号：2
出版社：Journal of Theoretical and Applied
摘要：Computing aggregation values of user interesting attributes are important in decision and knowledge discovering systems .In real world the users are interested only view to the aggregation values which meet some constrain this type of queries are call iceberg queries. We can optimize memory requirement and CPU time for computing iceberg Queries having anti monotone constrains by eliminating non target set, but for Non anti monotone constrains we cannot eliminate non target sets, so it requires huge memory for answering the query, we propose a algorithm which produce target results using minimum memory and CPU time for computation by bit map numbers, explain with a sample iceberg query
关键词：Non Anti Monotone; Iceberg Query; Anti Monotone ; Bit Map Numbers
