Abstract
With the rapid development, social network analysis has been receiving significant attention. One popular direction in the filed is to mine graph-pattern association rules (\(\mathsf {GPARs}\)). In the demo, we present \(\mathsf {GparMiner}\), a system for mining \(\mathsf {GPARs}\), on big and distributed social networks. The system has following characteristics: (1) it supports parallel mining computation, to handle sheer size of real-life social networks; (2) it provides graphical interface to help users monitor the mining progress and have a better understanding of \(\mathsf {GPARs}\).
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Acknowledgement
Xin Wang is supported in part by the NSFC 71490722,71472185, and Fundamental Research Funds for the Central Universities, China.
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Wang, X., Xu, Y., Zhao, R., Lin, J., Zhan, H. (2019). GparMiner: A System to Mine Graph Pattern Association Rules. In: Li, G., Yang, J., Gama, J., Natwichai, J., Tong, Y. (eds) Database Systems for Advanced Applications. DASFAA 2019. Lecture Notes in Computer Science(), vol 11448. Springer, Cham. https://doi.org/10.1007/978-3-030-18590-9_84
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DOI: https://doi.org/10.1007/978-3-030-18590-9_84
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