TY - GEN
T1 - Multi-level abstractions and multi-dimensional retrieval of cases with time series features
AU - Montani, Stefania
AU - Bottrighi, Alessio
AU - Leonardi, Giorgio
AU - Portinale, Luigi
AU - Terenziani, Paolo
PY - 2009
Y1 - 2009
N2 - Time series retrieval is a critical issue in all domains in which the observed phenomenon dynamics have to be dealt with. In this paper, we propose a novel, domain independent time series retrieval framework, based on Temporal Abstractions (TA). Our framework allows for multi-level abstractions, according to two dimensions, namely a taxonomy of (trend or state) symbols, and a variety of time granularities. Moreover, we allow for flexible querying, where queries can be expressed at any level of detail in both dimensions, also in an interactive fashion, and ground cases as well as generalized ones can be retrieved. We also take advantage of multi-dimensional orthogonal index structures, which can be refined progressively and on demand. The framework in practice is illustrated by means of a case study in hemodialysis.
AB - Time series retrieval is a critical issue in all domains in which the observed phenomenon dynamics have to be dealt with. In this paper, we propose a novel, domain independent time series retrieval framework, based on Temporal Abstractions (TA). Our framework allows for multi-level abstractions, according to two dimensions, namely a taxonomy of (trend or state) symbols, and a variety of time granularities. Moreover, we allow for flexible querying, where queries can be expressed at any level of detail in both dimensions, also in an interactive fashion, and ground cases as well as generalized ones can be retrieved. We also take advantage of multi-dimensional orthogonal index structures, which can be refined progressively and on demand. The framework in practice is illustrated by means of a case study in hemodialysis.
UR - https://www.scopus.com/pages/publications/70350349525
U2 - 10.1007/978-3-642-02998-1_17
DO - 10.1007/978-3-642-02998-1_17
M3 - Conference contribution
AN - SCOPUS:70350349525
SN - 3642029973
SN - 9783642029974
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 225
EP - 239
BT - Case-Based Reasoning Research and Development - 8th International Conference on Case-Based Reasoning, ICCBR 2009, Proceedings
T2 - 8th International Conference on Case-Based Reasoning, ICCBR 2009
Y2 - 20 July 2009 through 23 July 2009
ER -