Title
Intelligent data interpretation and case base exploration through temporal abstractions
Abstract
Interpreting time series of measurements and exploring a repository of cases with time series data looking for similarities, are non-trivial, but very important tasks. Classical methodological solutions proposed to deal with (some of) these goals, typically based on mathematical techniques, are characterized by strong limitations, such as unclear or incorrect retrieval results and reduced interactivity and flexibility. In this paper, we describe a novel case base exploration and retrieval architecture, which supports time series summarization and interpretation by means of Temporal Abstractions, and in which multi-level abstraction mechanisms and proper indexing techniques are provided, in order to grant expressiveness in issuing queries, as well as efficiency and flexibility in answering queries themselves. Relying on a set of concrete examples, taken from the haemodialysis domain, we illustrate the system facilities, and we demonstrate the advantages of relying on this methodology, with respect to more classical mathematical ones.
Year
DOI
Venue
2010
10.1007/978-3-642-14274-1_5
ICCBR
Keywords
Field
DocType
mathematical technique,incorrect retrieval result,abstraction mechanism,intelligent data interpretation,case base exploration,retrieval architecture,temporal abstractions,temporal abstraction,time series summarization,interpreting time series,time series data,concrete example,classical methodological solution,time series,indexation,data interpretation
Time series,Automatic summarization,Interactivity,Data mining,Architecture,Abstraction,Computer science,Search engine indexing,Case base,Theoretical computer science,Discrete wavelet transform
Conference
Volume
ISSN
ISBN
6176
0302-9743
3-642-14273-7
Citations 
PageRank 
References 
6
0.47
26
Authors
5
Name
Order
Citations
PageRank
A. Bottrighi124724.69
Giorgio Leonardi217920.36
Stefania Montani390181.42
Luigi Portinale4806155.06
Paolo Terenziani5924112.83