Fast subsequence matching in time-series databases
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
Behavior patterns of logistic models with a delay
Mathematics and Computers in Simulation
MFCS '94 Proceedings of the 19th International Symposium on Mathematical Foundations of Computer Science 1994
Scaling up Dynamic Time Warping to Massive Dataset
PKDD '99 Proceedings of the Third European Conference on Principles of Data Mining and Knowledge Discovery
Fast Similarity Search in the Presence of Noise, Scaling, and Translation in Time-Series Databases
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
An Index-Based Approach for Similarity Search Supporting Time Warping in Large Sequence Databases
Proceedings of the 17th International Conference on Data Engineering
Efficient Time Series Matching by Wavelets
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
Hi-index | 0.00 |
In this paper, the study of systems that evolve in time by means of the comparison of time series is proposed. An improvement in the form to compare temporal series with the incorporation of qualitative knowledge by means of qualitative labels is carried out. Each label represents a rank of values that, from a qualitative perspective, may be considered similar. The selection of labels of a single character allows the application of algorithms of string comparison. Finally, an index of similarity of time series based on the similarity of the obtained strings is defined.