Survey papers on pattern mining

Below is a list of some good survey papers on pattern mining. It is not an exhaustive list.

Itemset mining

Fournier-Viger, P., Lin, J. C.-W., Vo, B, Chi, T.T., Zhang, J., Le, H. B. (2017). A Survey of Itemset Mining. WIREs Data Mining and Knowledge Discovery, Wiley, e1207 doi: 10.1002/widm.1207, 18 pages.Fournier-Viger., P., Lin, J. C.-W., Truong, T., Nkambou, R. (2019).
Luna, J. M., Fournier-Viger, P., Ventura, S. (2019). Frequent Itemset Mining: a 25 Years Review. WIREs Data Mining and Knowledge Discovery, Wiley, 9(6):e1329.

Fournier-Viger, P., Lin, J. C.-W., Kiran, R. U., Koh, Y. S., Thomas, R. (2017). A Survey of Sequential Pattern Mining. Data Science and Pattern Recognition (DSPR), vol. 1(1), pp. 54-77.Truong, T., Fournier-Viger., P. (2019).
Truong, T. et al. A survey of high utility sequential pattern mining. In: Fournier-Viger et al. (eds). High-Utility Pattern Mining: Theory, Algorithms and Applications, Springer, p. 97-130.
Dinh, D.-T., Huynh, V.-N., Le, B., Fournier-Viger, P., Huynh, U., Nguyen, Q.-M. (2019). A Survey of Privacy Preserving Utility Mining.In: Fournier-Viger et al. (eds). High-Utility Pattern Mining: Theory, Algorithms and Applications, Springer, p.207-232
Gan, W., Lin, J. C. W., Fournier-Viger, P., Chao, H.-C., Yu, P. S. (2019) A Survey of Parallel Sequential Pattern Mining. ACM Transactions on Knowledge Discovery from Data (TKDD), 13(3): 25:1-25:34.

Fournier-Viger et al. (2019) A survey of high utility itemset mining. In: Fournier-Viger et al. (eds). High-Utility Pattern Mining: Theory, Algorithms and Applications, Springer (to appear), p. 1-46.
Gan, W., Lin, J. C.-W., Fournier-Viger, P., Chao, H.-C., Tseng, V. S., Yu, P. (2019). A Survey of Utility-Oriented Pattern Mining. IEEE Transactions on Knowledge and Data Engineering (TKDE),
Gan, W., Lin, J. C.-W., Fournier-Viger, P., Chao, H.-C., Hong, T.-P., Fujita, H. (2017). Incremental High-Utility Itemset Mining: A Survey. WIREs Data Mining and Knowledge Discovery, Wiley,

Fournier-Viger, P., He, G., Cheng, C., Li, J., Zhou, M., Lin, J.C-W., Yun, U. (2020). A Survey of Pattern Mining in Dynamic Graphs. WIREs Data Mining and Knowledge Discovery, Wiley,
DOI: 10.1002/WIDM.1372
Jiang, C., Coenen, F. and Zito, M., 2013. A survey of frequent subgraph mining algorithms. Knowledge Engineering Review, 28 (1), pp.75-105.
Jiménez A, Berzal F, Cubero JC. Frequent tree pattern mining: A survey. Intelligent Data Analysis. 2010 Jan 1;14(6):603-22.

Koh, Y.S. and Ravana, S.D., 2016. Unsupervised rare pattern mining: a survey. ACM Transactions on Knowledge Discovery from Data (TKDD), 10 (4), pp.1-29.

Giacometti A, Li DH, Marcel P, Soulet A. 20 years of pattern mining: a bibliometric survey. ACM SIGKDD Explorations Newsletter. 2014 Mar 17;15(1):41-50.