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1. [**ICWS'17**] Pinjia He, Jieming Zhu, Zibin Zheng, and Michael R. Lyu. [Drain: An Online Log Parsing Approach with Fixed Depth Tree](http://jiemingzhu.github.io/pub/pjhe_icws2017.pdf), *IEEE International Conference on Web Services (ICWS)*, 2017.
1. [**ICDM'16**] Min Du, Feifei Li. [Spell: Streaming Parsing of System Event Logs](https://www.cs.utah.edu/~lifeifei/papers/spell.pdf), *IEEE International Conference on Data Mining (ICDM)*, 2016.
1. **[MILCOM'16]** Vaarandi R, Kont M, Pihelgas M. [Event log analysis with the LogCluster tool](https://ieeexplore.ieee.org/abstract/document/7795458/). *InMilitary Communications Conference (MILCOM)*, 2016.
1. **[KDD'16]** Nandi A, Mandal A, Atreja S, Dasgupta GB, Bhattacharya S. [Anomaly detection using program control flow graph mining from execution logs](https://pdfs.semanticscholar.org/cc2c/1755d4fd55a25d924894afdf5090c5bdaf6f.pdf), *InProceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)*, 2016.
1. **[KDD'16]** Nandi A, Mandal A, Atreja S, Dasgupta GB, Bhattacharya S. [Anomaly detection using program control flow graph mining from execution logs](https://dl.acm.org/citation.cfm?id=2939712), *InProceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)*, 2016.
1. **[arXiv'16]** Shima K. [Length Matters: Clustering System Log Messages using Length of Words](https://arxiv.org/pdf/1611.03213), *arXiv preprint arXiv:1611.03213 (arXiv)*, 2016.
1. **[ICKM'16]** Hamooni H, Debnath B, Xu J, Zhang H, Jiang G, Mueen A. [LogMine: Fast Pattern Recognition for Log Analytics](https://pdfs.semanticscholar.org/8de8/a4b5193200d332aa4c86956bffbdac758194.pdf), *InProceedings of the 25th ACM International on Conference on Information and Knowledge Management (ICKM)*, 2016.
1. **[ICKM'16]** Hamooni H, Debnath B, Xu J, Zhang H, Jiang G, Mueen A. [LogMine: Fast Pattern Recognition for Log Analytics](https://dl.acm.org/citation.cfm?id=2983358), *InProceedings of the 25th ACM International on Conference on Information and Knowledge Management (ICKM)*, 2016.
1. **[IDPSW'16]** [Zhao Y, Xiao H. Extracting log patterns from system logs in LARGE](http://web.cse.ohio-state.edu/~lu.932/hpbdc2016/slides/hpbdc16-zhao.pdf), *InParallel and Distributed Processing Symposium Workshops (IDPSW)*, 2016
1. **[MILCOM'15]** Ya J, Liu T, Zhang H, Shi J, Guo L. [An automatic approach to extract the formats of network and security log messages](http://or.nsfc.gov.cn/bitstream/00001903-5/420617/1/1000014323760.pdf), *InMilitary Communications Conference, (MILCOM)*, 2015
1. [**CNSM'15**] Risto Vaarandi, Mauno Pihelgas. [LogCluster - A Data Clustering and Pattern Mining Algorithm for Event Logs](http://ristov.github.io/publications/cnsm15-logcluster-web.pdf), *International Conference on Network and Service Management (CNSM)*, 2015.
1. [**CNSM'15**] Keiichi Shima. [Length Matters: Clustering System Log Messages using Length of Words](https://arxiv.org/pdf/1611.03213.pdf), *International Conference on Network and Service Management (CNSM)*, 2015.
1. **[CNSM'15]** Kimura T, Watanabe A, Toyono T, Ishibashi K. [Proactive failure detection learning generation patterns of large-scale network logs](https://pdfs.semanticscholar.org/6b9d/2b40529b4464fdfffded76aff0d89704f9e5.pdf), *InNetwork and Service Management (CNSM)*, 2015.
1. **[CNSM'15]** Kimura T, Watanabe A, Toyono T, Ishibashi K. [Proactive failure detection learning generation patterns of large-scale network logs](http://ieeexplore.ieee.org/abstract/document/7367332/), *InNetwork and Service Management (CNSM)*, 2015.
1. **['14]** Ning X, Jiang G. [HLAer:a System for Heterogeneous Log Analysis](https://pdfs.semanticscholar.org/236d/9c76dbaa6e2e07ef6d17a8f3cc4fac6e1e55.pdf), *in SDM Workshop on Heterogeneous Learning*, 2014.
1. **[MSR'14]** Khodabandelou G, Hug C, Deneckère R, Salinesi C. [Unsupervised discovery of intentional process models from event logs](https://hal-paris1.archives-ouvertes.fr/hal-00994197/file/msr2014_submission_25.pdf), *InProceedings of the 11th Working Conference on Mining Software Repositories (MSR)*, 2014.
1. **[FIT'14]** Kobayashi S, Fukuda K, Esaki H. [Towards an NLP-based log template generation algorithm for system log analysis](http://sat.hongo.wide.ad.jp/cfi2014.pdf),*InProceedings of The Ninth International Conference on Future Internet Technologies (FIT)*, 2014 .
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