Abstract
Compression database techniques play an important role in the management of massive data in database. Based on an important feature of offline relations and the features of operations on these data, we propose a compression method of massive offline relations to improve the processing performance of these relations. Experiments show that our method is efficient.
Supported by the National Natural Science Foundation China under Grant No.60273082.
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Luo, J., Li, J., Wang, H., Zhang, Y., Zhao, K. (2004). The Compression of Massive Offline Relations. In: Li, Q., Wang, G., Feng, L. (eds) Advances in Web-Age Information Management. WAIM 2004. Lecture Notes in Computer Science, vol 3129. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27772-9_65
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DOI: https://doi.org/10.1007/978-3-540-27772-9_65
Publisher Name: Springer, Berlin, Heidelberg
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