Algorithm Research of Top-Down Mining Maximal Frequent SubGraph Based on Tree Structure

Author:

Chen Xiao,Zhang Chunying,Liu Fengchun,Guo Jingfeng

Publisher

Springer Berlin Heidelberg

Reference8 articles.

1. Han, J., Kamber, M.: Data Mining: Concepts and Techniques, pp. 79–165. Mechanical Industry Publishing, Beijing (2007), Translate by Fan, M., Men, X.f.

2. Thomas, L.T., Valluri, S.R., Karlapalem, K.: MARGIN: Maximal Frequent Subgraph Mining. In: Proc of ICMD 2006, Hong Kong, pp. 1097–1101 (2006)

3. Wang, Y.-l., Yang, B.-r., Song, Z.-f., Chen, Z., Li, L.-n.: New Algorithm for Mining Maximal Frequent Subgraphs. Journal of System Simulation 20(18), 4872–4877 (2008)

4. Guo, J., Chai, R., Li, J.: Top-Down Algorithm for Mining Maximal Frequent Subgraph. Advanced Materials Research 204 - 210, 1472–1476 (2011)

5. Chakrabarti, D., Flaoutsos, C.: Graph mining: laws, generators, and algorithms. ACM Computing Surveys 38(1), 1–69 (2006)

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1. Extensions to AGraP Algorithm for Finding a Reduced Set of Inexact Graph Patterns;International Journal of Pattern Recognition and Artificial Intelligence;2017-10-09

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