Veranstaltungen im Wintersemester 2015 / Master-Seminar: Time-Series Mining
Literatur
Literatur:
- Yongjie Cai et al., Facets: Fast Comprehensive Mining of Co-evolving High-order Time Series, Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2015
- Dachraoui et al., Early Classification of Time Series as a Non Myopic Sequential Decision Making Problem, Proceedings of the 8th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML 2015
- Caballero et al., Dynamically Modeling Patient's Health State from Electronic Medical Records: A Time Series Approach, Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2015
- Shokoohi-Yekta et al., Discovery of Meaningful Rules in Time Series, Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2015
- Liu et al., Modeling Clinical Time Series Using Gaussian Process Sequences, Proceedings of the 2013 SIAM International Conference on Data Mining, SDM 2013
- Cheng et al., FBLG: A Simple and Effective Approach for Temporal Dependence Discovery from Time Series Data, Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2014
- Bahadori et al., Functional Subspace Clustering with Application to Time Series, Proceedings of the 32nd International Conference on Machine Learning, ICML 2015
- Anava et al., Online Time Series Prediction with Missing Data, Proceedings of the 32nd International Conference on Machine Learning, ICML 2015