D. Kim, Legacy of the void. http://www.pcgamesn.com/starcraft-ii/david-kim-and-the- impossible-balancing-act-of-starcraft-2-legacy-of-the-void, pp.2016-2023

R. Agrawal and R. Srikant, Fast algorithms for mining association rules in large databases, VLDB'94, Proceedings of 20th International Conference on Very Large Data Bases, pp.487-499, 1994.

M. Ahmad, B. Keegan, J. Srivastava, D. Williams, and N. S. Contractor, Mining for Gold Farmers: Automatic Detection of Deviant Players in MMOGs, 2009 International Conference on Computational Science and Engineering, pp.340-345, 2009.
DOI : 10.1109/CSE.2009.307

F. Angiulli, F. Fassetti, and L. Palopoli, Detecting outlying properties of exceptional objects, ACM Transactions on Database Systems, vol.34, issue.1, pp.1-762, 2009.
DOI : 10.1145/1508857.1508864

G. Bosc, P. Tan, J. F. Boulicaut, C. Raissi, and M. Kaytoue, A Pattern Mining Approach to Study Strategy Balance in RTS Games, IEEE Transactions on Computational Intelligence and AI in Games, 2015.
DOI : 10.1109/TCIAIG.2015.2511819

URL : https://hal.archives-ouvertes.fr/hal-01252728

J. Boulicaut and B. Jeudy, Constraint-based data mining, Data Mining and Knowledge Discovery Handbook, pp.339-354, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00567915

A. Buchan and J. Taylor, A qualitative exploration of factors affecting group cohesion and team play in multiplayer online battle arenas (mobas). The Computer Games Journal, pp.1-25, 2016.

O. Cavadenti, V. Codocedo, J. Boulicaut, and M. Kaytoue, When cyberathletes conceal their game: Clustering confusion matrices to identify avatar aliases, 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA), pp.1-10, 2015.
DOI : 10.1109/DSAA.2015.7344824

URL : https://hal.archives-ouvertes.fr/hal-01243504

V. Chandola, A. Banerjee, and V. Kumar, Anomaly detection, ACM Computing Surveys, vol.41, issue.3, pp.1-1558, 2009.
DOI : 10.1145/1541880.1541882

G. Cheung and J. Huang, Starcraft from the stands, Proceedings of the 2011 annual conference on Human factors in computing systems, CHI '11, pp.763-772, 2011.
DOI : 10.1145/1978942.1979053

M. Claypool, J. Decelle, G. Hall, and L. O. Donnell, Surrender at 20? Matchmaking in league of legends, 2015 IEEE Games Entertainment Media Conference (GEM), pp.1-4, 2015.
DOI : 10.1109/GEM.2015.7377234

R. Luiz-de-freitas-cunha, M. C. Machado, and L. Chaimowicz, Rtsmate: Towards an advice system for rts games, Computers in Entertainment, vol.121, issue.1, pp.1-120, 2015.

N. Victor, L. Silva, and . Chaimowicz, A tutor agent for moba games, SBGames, 2015.

G. Dong and J. Li, Efficient mining of emerging patterns, Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '99, pp.43-52, 1999.
DOI : 10.1145/312129.312191

A. Drachen, M. Yancey, J. Maguire, D. Chu, I. Y. Wang et al., Skill-based differences in spatiotemporal team behaviour in defence of the ancients 2, Games Media Entertainment (GEM), pp.2014-2015, 2014.

L. Duan, G. Tang, J. Pei, J. Bailey, A. Campbell et al., Mining outlying aspects on numeric data, Data Mining and Knowledge Discovery, vol.5, issue.5, pp.1116-1151, 2015.
DOI : 10.1007/s10618-014-0398-2

F. Flouvat, J. Sanhes, C. Pasquier, N. Selmaoui, and J. Boulicaut, Improving pattern discovery relevancy by deriving constraints from expert models, ECAI'14, pp.327-332, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01151514

P. Fournier-viger, A. Gomariz, T. Gueniche, A. Soltani, C. Wu et al., SPMF: a java opensource pattern mining library, Journal of Machine Learning Research, vol.15, issue.1, pp.3389-3393, 2014.

T. Guns, Declarative pattern mining using constraint programming, Constraints, vol.20, issue.4, pp.492-493, 2015.
DOI : 10.1007/s10601-015-9220-z

M. Kaytoue, A. Silva, L. Cerf, W. M. Jr, and C. Ra¨?ssira¨?ssi, Watch me playing, i am a professional, Proceedings of the 21st international conference companion on World Wide Web, WWW '12 Companion, pp.1181-1188, 2012.
DOI : 10.1145/2187980.2188259

URL : https://hal.archives-ouvertes.fr/hal-00697150

T. M. , M. Schubert, and A. Drachen, Esports analytics through encounter detection, Proceedings of the MIT Sloan Sports Analytics Conference 2016, 2016.

S. Moens, E. Aksehirli, and B. Goethals, Frequent Itemset Mining for Big Data, 2013 IEEE International Conference on Big Data, pp.111-118, 2013.
DOI : 10.1109/BigData.2013.6691742

B. Negrevergne, A. Termier, M. Rousset, and J. Mehaut, ParaMiner: a Generic Pattern Mining Algorithm for Multi-Core Architectures, Journal of Data Mining and Knowledge Discovery, p.2013
URL : https://hal.archives-ouvertes.fr/hal-00923535

S. Ontañón, G. Synnaeve, A. Uriarte, F. Richoux, D. Churchill et al., A Survey of Real-Time Strategy Game AI Research and Competition in StarCraft, IEEE Transactions on Computational Intelligence and AI in Games, vol.5, issue.4, pp.293-311, 2013.
DOI : 10.1109/TCIAIG.2013.2286295

M. Plantevit and B. Crémilleux, Condensed Representation of Sequential Patterns According to Frequency-Based Measures, IDA'09, pp.155-166, 2009.
DOI : 10.1109/TKDE.2007.1043

URL : https://hal.archives-ouvertes.fr/hal-01011587

F. Rioult, J. Metivier, B. Helleu, N. Scelles, and C. Durand, Mining Tracks of Competitive Video Games, AASRI Conference on Sports Engineering and Computer Science, 2014.
DOI : 10.1016/j.aasri.2014.08.014

URL : https://hal.archives-ouvertes.fr/hal-01011551

G. Tang, J. Bailey, J. Pei, and G. Dong, Mining multidimensional contextual outliers from categorical relational data, Proceedings of the 25th International Conference on Scientific and Statistical Database Management, SSDBM, pp.1-43, 2013.

T. L. Taylor, Raising the Stakes:E-Sports and the Professionalization of Computer Gaming, 2012.

M. Véron, O. Marin, and S. Monnet, Matchmaking in multi-player on-line games, Proceedings of Network and Operating System Support on Digital Audio and Video Workshop, NOSSDAV '14, pp.7-7, 2014.
DOI : 10.1145/2597176.2578265

A. Von-eschen, Machine learning and data mining in call of duty, European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD), 2014.

E. Q. Yan, J. Huang, and G. K. Cheung, Masters of Control, Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, CHI '15, pp.3711-3720, 2015.
DOI : 10.1145/2702123.2702429

M. J. Zaki and C. Hsiao, Efficient algorithms for mining closed itemsets and their lattice structure, IEEE Transactions on Knowledge and Data Engineering, vol.17, issue.4, pp.462-478, 2005.
DOI : 10.1109/TKDE.2005.60