Big data (BD) is attaining major attention in the information field due to the eruption of data in
the preceding decade. Philosophical techniques of “query optimization (QO)” have an …

Due to the increasing threat of malware to computer systems and networks, traditional
malware detection and recognition technologies face difficulties and limitations. Therefore …

This paper discusses about the utilization of data support algorithm for performing hybrid
guiding reform on stable cloud classroom based on dual disaster recovery system. Data …

Multi-query optimization is the task of generating an execution plan for a collection of
multiple queries. In recent years, big data querying has become an important field because it …

The unprecedented growth of data in contemporary times has presented unparalleled
challenges in the efficient processing and analysis of vast datasets. SQL Server, a leading …

An improved query optimization process for big data using a combination of the ACO-GA
algorithm and HDFS mapreduce. The methodology consists of two phases: BD arrangement …

The clustering of Bigdata is a common task in data mining and machine learning. The goal is
to group similar data points to identify patterns and relationships in the data. However …

There is a remarkable growth in the volume of data processed every day. The revolution has
taken us to the level where we are trying to find the technology suitable for the amount of …