Systematic Review of Wavelet Tree Compression Techniques

The wavelet tree is a proficient data structure utilized for compressing and indexing files, which in turn improves information retrieval for specific data. This research work explores the numerous applications of compression algorithms across various fields. Additionally, the research also addresses several research questions related to the use of compression algorithms. The wavelet tree is a powerful tool that can help compress large datasets and facilitate faster information retrieval. Through our research, we have uncovered numerous practical applications of compression algorithms, such as in data mining, bioinformatics, and natural language processing. We have also discussed various research questions, such as how compression algorithms can be optimized for various data sets and their potential enhancements through utilization of the accuracy of machine learning models. Overall, this research work highlights the significant benefits of using compression algorithms, particularly the wavelet tree, in a wide range of applications. It provides a deeper understanding of the potential of these algorithms and the important role they can play in improving data processing and analysis.