%%Algorithmic
@inproceedings{ye2009time,
  title={Time series shapelets: a new primitive for data mining},
  author={Ye, L. and Keogh, E.},
  booktitle={Proceedings of the 15th {ACM SIGKDD} International Conference on Knowledge Discovery and Data Mining},
  year={2009}
}

@article{ye2011time,
  title={Time series shapelets: a novel technique that allows accurate, interpretable and fast classification},
  author={Ye, L. and Keogh, E.},
  journal={Data Mining and Knowledge Discovery},
  volume={22},
  number={1},
  pages={149--182},
  year={2011}
}
@inproceedings{mueen2011logical,
  title={Logical-shapelets: an expressive primitive for time series classification},
  author={Mueen, A. and Keogh, E. and Young, N.},
  booktitle={Proceedings of the 17th  {ACM SIGKDD} International Conference on Knowledge Discovery and Data Mining},
  year={2011}
}
@article{xing2011extracting,
  title={Extracting interpretable features for early classification on time series},
  author={Xing, Z. and Pei, J. and Yu, P. and Wang, K.},
  journal={Proceedings of the 11th {SIAM} International Conference on Data Mining},
  year={2011}
}

@inproceedings{chang2012efficient,
  title={Efficient Pattern-Based Time Series Classification on GPU},
  author={Chang, Kai-Wei and Deka, Biplab and Hwu, Wen-Mei W and Roth, Dan},
  booktitle={Proceedings of the 12th {IEEE} International Conference on Data Mining},
  year={2012}
}

@article{gordon2012fast, %Get full version when published
  title={Fast Randomized Model Generation for Shapelet-Based Time Series Classification},
  author={Gordon, D. and Hendler, D. and Rokach, L.},
  journal={arXiv preprint arXiv:1209.5038},
  year={2012}
}


@article{xing2012early,
  title={Early classification on time series},
  author={Xing, Z. and Pei, J. and Yu, P.S.},
  journal={Knowledge and information systems},
  volume={31},
  number={1},
  pages={105--127},
  year={2012}
}

@inproceedings{zakaria2012clustering,
  title={Clustering Time Series using Unsupervised-Shapelets},
  author={Zakaria, J. and Mueen, A. and Keogh, E.},
  booktitle={Proceedings of the 12th {IEEE} International Conference on Data Mining},
  year={2012}
}
@incollection{lines12quality,
  title={Alternative Quality Measures for Time Series Shapelets},
  author={J. Lines and A. Bagnall},
  series = {Lecture Notes in Computer Science},
  booktitle = {Intelligent Data Engineering and Automated Learning},
  volume = {7435},
  pages={475--483},
  year={2012}

}

@inproceedings{lines2012shapelet,
  title={A shapelet transform for time series classification},
  author={},
  booktitle={Proceedings of the 18th {ACM SIGKDD} International Conference on Knowledge Discovery and Data Mining},
  year={2012}
}

@article{rakthanmanon2013fast,
  title={Fast Shapelets: A Scalable Algorithm for Discovering Time Series Shapelets},
  author={Rakthanmanon, T. and Keogh, E.},
  journal={Proceedings of the 13th {SIAM} International Conference on Data Mining},
  year={2013}
}

%ADD OUR DAMI PAPER
@article{hills2013transform,
  title={Classification of Time Series by Shapelet Transformation},
  author={Hills, J. and Lines, J. and E. Baranauskas and J. Mapp  and Bagnall, A.},
  journal={Data Mining and Knowledge Discovery, accepted subject to minor corrections},
  year={2013}
}
%APPLICATIONS

@article{liu2009uwave,
  title={{uWave}: Accelerometer-based personalized gesture recognition and its applications},
  author={Liu, J. and Zhong, L. and Wickramasuriya, J. and Vasudevan, V.},
  journal={Pervasive and Mobile Computing},
  volume={5},
  number={6},
  pages={657--675},
  year={2009}
}

@inproceedings{hartmann2010gesture,
  title={Gesture recognition with inertial sensors and optimized dtw prototypes},
  author={Hartmann, B. and Link, N.},
  booktitle={{IEEE} International Conference on Systems Man and Cybernetics},
  year={2010}
}

@inproceedings{hartmann2010prototype,
  title={Prototype optimization for temporarily and spatially distorted time series},
  author={Hartmann, B. and Schwab, I. and Link, N.},
  booktitle={the {AAAI} Spring Symposia},
  year={2010}
}
@article{mcgovern2011identifying,
  title={Identifying predictive multi-dimensional time series motifs: an application to severe weather prediction},
  author={McGovern, A. and Rosendahl, D.H. and Brown, R.A. and Droegemeier, K.K.},
  journal={Data Mining and Knowledge Discovery},
  volume={22},
  number={1},
  pages={232--258},
  year={2011}
}
@inproceedings{reiss2011exploring,
  title={Exploring and extending the boundaries of physical activity recognition},
  author={Reiss, A. and Weber, M. and Stricker, D.},
  booktitle={{IEEE} International Conference on Systems, Man, and Cybernetics},
  year={2011}
}

@inproceedings{he2012fast,
  title={Fast Time Series Classification Based on Infrequent Shapelets},
  author={He, Qing and Zhuang, Fuzhen and Shang, Tianfeng and Shi, Zhongzhi and others},
  booktitle={11th {IEEE} International Conference on Machine Learning and Applications},
  year={2012}
}

@inproceedings{sivakumar2012human,
  title={Human Gait Recognition and Classification Using Time Series Shapelets},
  author={Sivakumar, P.B. and Shajina, T.},
  booktitle={{IEEE} International Conference on Advances in Computing and Communications},
  year={2012}
}
@inproceedings{mapp2013otoliths,
   author    = "J. Mapp and M. Fisher and A. Bagnall and J. Lines and S. Songer and J. Scutt Phillips",
   title     = "Clupea Harengus: Intraspecies Distinction Using Curvature Scale Space and Shapelets",
   BOOKTITLE = "International Conference on Pattern Recognition Applications and Methods",
   year      = "2013"
}