A Compressed Bitmap Vector Method to Assess Aggregate Queries Competently

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Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Data Management
Format: PDF
The retrieval and storage of data plays important role in the Data Clustering (DC) and Data Warehousing (DW) methods. The competence of a data retrieving method depends on precise queries for retrieving the data from the relational database systems. IceBerg (IB) query is an aggregate query, which calculate s aggregate values beyond a given Threshold (T). Many Data Mining (DM) queries are typically IB queries. The main part taken into the consideration is AND operation in the IB queries. The compacted number of AND operation increases the competence of the IB query. In this attempt, a well-organized IB query evaluation process is proposed by reducing the bitwise AND operations needed to find the Item Pairs (IPs).
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