Efficient Query Processing for Dynamically Changing Datasets

Efficient Matching of Dynamically Changing Graphs

Review on Efficient Query processing for Set Predicates of Dynamically Formed Group

In data warehousing and OLAP applications, scalar-level predicates in SQL become highly inadequate which needs to support set-level comparison semantics, i.e., comparing a group of tuples with several values. We present here a comprehensive review of the state-of-the-art processing a group of tuples with multiple values and to optimize the queries. Currently, complex SQL queries composed by sca...

Mining Image Features for Efficient Query Processing

Efficient Query Processing for Data Integration

Efficient Query Processing for Data Integration

Compressed bitmap indices for efficient query processing∗

Bitmap indices are useful techniques for improving access speed of high-dimensional data in data warehouses and in large scientific databases. Even though the bitmaps are easy to compress, compressing them can significantly reduce the query processing efficiency. This is because the operations on the compressed bitmaps are much slower than the same operations on the uncompressed ones. To addres...