1. Achar A (2010) Discovering frequent episodes with general partial orders. PhD thesis, Department of Electrical Engineering, Indian Institute of Science, Bangalore
2. Achar A, Laxman S, Raajay V, Sastry PS (2009) Discovering general partial orders from event streams. Technical report. arXiv:0902.1227v2 [cs.AI]. http://arxiv.org
3. Agrawal R, Srikant R (1995) Mining sequential patterns. In: Proceedings of the 11th international conference on data engineering, Taipei, Taiwan. IEEE Computer Society, Washington, DC
4. Bouqata B, Caraothers CD, Szymanski BK, Zaki MJ (2006) Vogue: a novel variable order-gap state machine for modeling sequences. In: Proceedings of the 10th European conference on principles and practice of knowledge discovery in databases, vol 4213. Springer-Verlag, Berlin, Heidelberg, pp 42–54
5. Brown E, Kass K, Mitra P (2004) Multiple neuronal spike train data analysis: state of art and future challenges. Nat Neurosci 7: 456–461