Intelligent data interpretation and case base exploration through temporal abstractions

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationCase-Based Reasoning Research and Development - 18th International Conference on Case-Based Reasoning, ICCBR 2010, Proceedings
Pages36-50
Number of pages15
DOIs
Publication statusPublished - 2010
Event18th International Conference on Case-Based Reasoning, ICCBR 2010 - Alessandria, Italy
Duration: 19 Jul 201022 Jul 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6176 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th International Conference on Case-Based Reasoning, ICCBR 2010
Country/TerritoryItaly
CityAlessandria
Period19/07/1022/07/10

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