A framework for knowledge-based temporal abstraction
Artificial Intelligence
A comparison of DFT and DWT based similarity search in time-series databases
Proceedings of the ninth international conference on Information and knowledge management
Mining Sequential Patterns: Generalizations and Performance Improvements
EDBT '96 Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
SPIRIT: Sequential Pattern Mining with Regular Expression Constraints
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Abstractions of Data and Time for Multiparametric Time Course Prognoses
EWCBR '96 Proceedings of the Third European Workshop on Advances in Case-Based Reasoning
Genetic Algorithms to Optimise CBR Retrieval
EWCBR '00 Proceedings of the 5th 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
Integrating Background Knowledge into Nearest-Neighbor Text Classification
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
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
Automatic Information Organization and Retrieval.
Automatic Information Organization and Retrieval.
Fault diagnosis in industry using sensor readings and case-based reasoning
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - AILS '04
Case-based retrieval to support the treatment of end stage renal failure patients
Artificial Intelligence in Medicine
Incremental learning of retrieval knowledge in a case-based reasoning system
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
Case based representation and retrieval with time dependent features
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
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Coping with time series cases is becoming an important issue in case based reasoning. This paper develops a knowledge discovery approach to discovering significant sequences for depicting symbolic time series cases. The input is a case library containing time series cases consisting of consecutive discrete patterns. The proposed approach is able to find from the given case library all qualified sequences that are non-redundant and indicative. A sequence as such is termed as a key sequence. It is shown that the key sequences discovered are highly usable in case characterization to capture important properties while ignoring random trivialities. The main idea is to transform an original (lengthy) time series into a more concise representation in terms of the detected occurrences of key sequences. Three alternate ways to develop case indexes based on key sequences are suggested. These indexes are simply vectors of numbers that are easily usable when matching two time series cases for case retrieval.