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Multipoint Bitmap Filter for Large Volume Data Query Processing
Objectives: The major point of introducing e-learning is to overcome and eliminate the hurdles in the existing conventional system and to replace it with a modern state of art demand based system, where a user can choose his requirement instead of wasting time in irrelevant content. The main objective of replacing the system is to provide a user friendly environment and a platform which is reusable in various available environments. Methods/Statistical Analysis: In this paper we proposed Multipoint Bitmap Filter (MBF) provides an interactive user interface which gives a clear way to narrow down the needs of user. Findings: Our proposed system is a naive the Multipoint Bitmap Filter (MBF) method provides user a perfect result oriented system with high level data precision. The method of indexing in the system provides a non-redundant, efficient result in which a user can access the data without any problems. Application/Improvements: In this proposed approach we proved that bitmap filter can stores the large amount of data and uses the column indexing that makes any complex table into simpler one.
Keywords
Array Table, Bitmap, MBF, Multipoint.
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