Systematic Review of Wavelet Tree Compression Techniques
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3466-5_19
Reference13 articles.
1. Gupta S, Katiyar N, Yadav AK, Yadav D (2022) Index optimization using wavelet tree and compression. In: Gupta D, Polkowski Z, Khanna A, Bhattacharyya S, Castillo O (eds) Proceedings of data analytics and management. Lecture notes on data engineering and communications technologies. Singapore: Springer Nature, pp 809–821. https://doi.org/10.1007/978-981-16-6289-8_66
2. Katiyar N, Gupta S, Yadav AK, Yadav D (2021) Wavelet tree ensembles with machine learning and its classification. J Phys Conf Ser 1998(1):012001. https://doi.org/10.1088/1742-6596/1998/1/012001
3. Gupta S, Yadav AK, Yadav D, Shukla B (2022) A scalable approach for index compression using wavelet tree and LZW. Int J Inf Technol 14(4):2191–2204. https://doi.org/10.1007/s41870-022-00915-y
4. Mishra SP, Prasad R, Singh G (2018) Fast pattern matching in compressed text using wavelet tree. IETE J Res 64(1):87–99. https://doi.org/10.1080/03772063.2017.1347071
5. Yadav AK, Gupta S, Yadav D, Shukla B (2022) Optimization of textual index construction using compressed parallel wavelet tree. In: Bashir AK, Fortino G, Khanna A, Gupta D (eds) Proceedings of international conference on computing and communication networks. Lecture notes in networks and systems. Springer Nature, Singapore, pp 457–466. https://doi.org/10.1007/978-981-19-0604- 6_43
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