Name
Title | ||
|---|---|---|
Multi-level Abstractions and Multi-dimensional Retrieval of Cases with Time Series Features |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-02998-1_17 | ICCBR |
Keywords | Field | DocType |
domain independent time series,temporal abstractions,time series features,interactive fashion,ground case,critical issue,multi-dimensional retrieval,flexible querying,case study,time series retrieval,retrieval framework,multi-level abstractions,time granularity,level of detail,time series,two dimensions | Data mining,Multi dimensional,Abstraction,On demand,Level of detail,Computer science,Theoretical computer science,Time series database | Conference |
Volume | ISSN | Citations |
5650 | 0302-9743 | 7 |
PageRank | References | Authors |
0.46 | 25 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stefania Montani | 1 | 901 | 81.42 |
| A. Bottrighi | 2 | 247 | 24.69 |
| Giorgio Leonardi | 3 | 179 | 20.36 |
| Luigi Portinale | 4 | 806 | 155.06 |
| Paolo Terenziani | 5 | 924 | 112.83 |