Towards a general theory of action and time
Artificial Intelligence
Algorithms for approximate string matching
Information and Control
String searching algorithms
PODS '95 Proceedings of the fourteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
A framework for knowledge-based temporal abstraction
Artificial Intelligence
A framework for the management of past experiences with time-extended situations
CIKM '97 Proceedings of the sixth international conference on Information and knowledge management
Principles of multimedia database systems
Principles of multimedia database systems
R-trees: a dynamic index structure for spatial searching
SIGMOD '84 Proceedings of the 1984 ACM SIGMOD international conference on Management of data
Efficient Similarity Search In Sequence Databases
FODO '93 Proceedings of the 4th International Conference on Foundations of Data Organization and Algorithms
The X-tree: An Index Structure for High-Dimensional Data
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
Similarity Evaluation Between Observed Behaviours for the Prediction of Processes
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
Abstractions of Data and Time for Multiparametric Time Course Prognoses
EWCBR '96 Proceedings of the Third European Workshop on Advances in Case-Based Reasoning
Representing Temporal Knowledge for Case-Based Prediction
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Operator Decision Aiding by Adaption of Supervision Strategies
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
Approximate String-Matching over Suffix Trees
CPM '93 Proceedings of the 4th Annual Symposium on Combinatorial Pattern Matching
Modelling Medical Concepts as Time-Objects
AIME '95 Proceedings of the 5th Conference on Artificial Intelligence in Medicine in Europe: Artificial Intelligence Medicine
Temporal knowledge representation and organization for case-based reasoning
TIME '96 Proceedings of the 3rd Workshop on Temporal Representation and Reasoning (TIME'96)
Efficient Time Series Matching by Wavelets
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
Fast similarity search in the presence of longitudinal scaling in time series databases
ICTAI '97 Proceedings of the 9th International Conference on Tools with Artificial Intelligence
Developing process models as summaries of HCI action sequences
Human-Computer Interaction
Temporal data mining for the quality assessment of hemodialysis services
Artificial Intelligence in Medicine
A framework for historical case-based reasoning
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
Intelligent analysis of clinical time series: an application in the diabetes mellitus domain
Artificial Intelligence in Medicine
Dynamic Adaptive Case Library for Continuous Domains
Proceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence
Dynamic Adaptive Case Library for Continuous Domains
Proceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence
Proceedings of the 13th International Conference on Artificial Intelligence and Law
Discovering knowledge about key sequences for indexing time series cases in medical applications
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
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The temporal dimension of the knowledge embedded in cases has often been neglected or oversimplified in Case Based Reasoning systems. However, in several real world problems a case should capture the evolution of the observed phenomenon over time. To this end, we propose to represent temporal information at two levels: (1) at the case level, if some features describe parameters varying within a period of time (which corresponds to the case duration), and are therefore collected in the form of time series; (2) at the history level, if the evolution of the system can be reconstructed by retrieving temporally related cases. In this paper, we describe a framework for case representation and retrieval able to take into account the temporal dimension, and meant to be used in any time dependent domain. In particular, to support case retrieval, we provide an analysis of similarity-based time series retrieval techniques; to support history retrieval, we introduce possible ways to summarize the case content, together with the corresponding strategies for identifying similar instances in the knowledge base. A concrete application of our framework is represented by the system RHENE, which is briefly sketched here, and extensively described in [20].