Fast subsequence matching in time-series databases
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
Fuzzy logic and neurofuzzy applications explained
Fuzzy logic and neurofuzzy applications explained
PODS '95 Proceedings of the fourteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
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
Deformable Markov model templates for time-series pattern matching
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Introduction to Bayesian Networks
Introduction to Bayesian Networks
Fuzzy and Neural Approaches in Engineering
Fuzzy and Neural Approaches in Engineering
Time Series Analysis, Forecasting and Control
Time Series Analysis, Forecasting and Control
Querying Time Series Data Based on Similarity
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Knowledge and Data Engineering
PKDD '97 Proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery
On the Role of Abstraction in Case-Based Reasoning
EWCBR '96 Proceedings of the Third European Workshop on Advances in Case-Based Reasoning
On Similarity Queries for Time-Series Data: Constraint Specification and Implementation
CP '95 Proceedings of the First International Conference on Principles and Practice of Constraint Programming
Landmarks: A New Model for Similarity-Based Pattern Querying in Time Series Databases
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
Nonlinear Time Series Analysis
Nonlinear Time Series Analysis
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
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Based on a unified description of similarity models, this paper proposes a general hierarchical framework for reusing cases at several levels of abstraction, which is particularly designed for describing and extrapolating the time series. We show how the idea of hierarchical case-based reasoning is involved within the context of time series similarity assessment, and several key issues in CBR are discussed. Finally, An implementation on futures prediction using this framework illustrates the idea we developed.