MALM: a framework for mining sequence database at multiple abstraction levels
Proceedings of the seventh international conference on Information and knowledge management
Relevance feedback retrieval of time series data
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Continuous categories for a mobile robot
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Time series similarity measures (tutorial PM-2)
Tutorial notes of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Efficient Subsequence Matching in Time Series Databases Under Time and Amplitude Transformations
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Using dynamic time warping for online temporal fusion in multisensor systems
Information Fusion
Multi-level Abstractions and Multi-dimensional Retrieval of Cases with Time Series Features
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Case-based retrieval to support the treatment of end stage renal failure patients
Artificial Intelligence in Medicine
Mining closed flexible patterns in time-series databases
Expert Systems with Applications: An International Journal
Online anomaly detection for sensor systems: A simple and efficient approach
Performance Evaluation
A review on time series data mining
Engineering Applications of Artificial Intelligence
Time series subsequence searching in specialized binary tree
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Pattern-based event detection in sensor networks
Distributed and Parallel Databases
Case based representation and retrieval with time dependent features
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
Intelligent data interpretation and case base exploration through temporal abstractions
ICCBR'10 Proceedings of the 18th international conference on Case-Based Reasoning Research and Development
Information Retrieval with Time Series Query
Proceedings of the 2013 Conference on the Theory of Information Retrieval
OBST-based segmentation approach to financial time series
Engineering Applications of Artificial Intelligence
An approach to dimensionality reduction in time series
Information Sciences: an International Journal
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Abstract: The problem of finding patterns of interest in time series databases (query by content) is an important one, with applications in virtually every field of science. A variety of approaches have been suggested. These approaches are robust to noise, offset translation, and amplitude scaling to varying degrees. However, they are all extremely sensitive to scaling in the time axis (longitudinal scaling). We present a method for similarity search that is robust to scaling in the time axis, in addition to noise, offset translation, and amplitude scaling. The method has been tested on medical, financial, space telemetry and artificial data. Furthermore the method is exceptionally fast, with the predicted 2 to 4 orders of magnitude speedup actually observed. The method uses a piecewise linear representation of the original data. We also introduce a new algorithm which both decides the optimal number of linear segments to use, and produces the actual linear representation.