Dimensionality reduction for fast similarity search in large time series databases
The problem of similarity search in large time series databases has attracted much attention
recently. It is a non-trivial problem because of the inherent high dimensionality of the data.
The most promising solutions involve first performing dimensionality reduction on the data …
recently. It is a non-trivial problem because of the inherent high dimensionality of the data.
The most promising solutions involve first performing dimensionality reduction on the data …
[PDF][PDF] Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases
E Keogh, K Chakrabarti, M Pazzani, S Mehrotra - Citeseer
The problem of similarity search in large time series databases has attracted much attention
recently. It is a non-trivial problem because of the inherent high dimensionality of the data.
The most promising solutions involve first performing dimensionality reduction on the data …
recently. It is a non-trivial problem because of the inherent high dimensionality of the data.
The most promising solutions involve first performing dimensionality reduction on the data …
[PDF][PDF] Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases
E Keogh, KCM Pazzani, S Mehrotra - www-db.disi.unibo.it
The problem of similarity search in large time series databases has attracted much attention
recently. It is a non-trivial problem because of the inherent high dimensionality of the data.
The most promising solutions involve performing dimensionality reduction on the data, then …
recently. It is a non-trivial problem because of the inherent high dimensionality of the data.
The most promising solutions involve performing dimensionality reduction on the data, then …
Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases
E Keogh, K Chakrabarti, M Pazzani… - … and Information Systems, 2001 - infona.pl
The problem of similarity search in large time series databases has attracted much attention
recently. It is a non-trivial problem because of the inherent high dimensionality of the data.
The most promising solutions involve first performing dimensionality reduction on the data …
recently. It is a non-trivial problem because of the inherent high dimensionality of the data.
The most promising solutions involve first performing dimensionality reduction on the data …
[PDF][PDF] Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases
E Keogh, KCM Pazzani, S Mehrotra - cs.ucr.edu
The problem of similarity search in large time series databases has attracted much attention
recently. It is a non-trivial problem because of the inherent high dimensionality of the data.
The most promising solutions involve performing dimensionality reduction on the data, then …
recently. It is a non-trivial problem because of the inherent high dimensionality of the data.
The most promising solutions involve performing dimensionality reduction on the data, then …
[PDF][PDF] Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases
E Keogh, KCM Pazzani, S Mehrotra - ics.uci.edu
The problem of similarity search in large time series databases has attracted much attention
recently. It is a non-trivial problem because of the inherent high dimensionality of the data.
The most promising solutions involve performing dimensionality reduction on the data, then …
recently. It is a non-trivial problem because of the inherent high dimensionality of the data.
The most promising solutions involve performing dimensionality reduction on the data, then …
Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases
E Keogh, K Chakrabarti, M Pazzani… - … and Information Systems, 2001 - elibrary.ru
The problem of similarity search in large time series databases has attracted much attention
recently. It is a non-trivial problem because of the inherent high dimensionality of the data.
The most promising solutions involve first performing dimensionality reduction on the data …
recently. It is a non-trivial problem because of the inherent high dimensionality of the data.
The most promising solutions involve first performing dimensionality reduction on the data …
[PDF][PDF] Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases
E Keogh, KCM Pazzani, S Mehrotra - www-ai.cs.tu-dortmund.de
The problem of similarity search in large time series databases has attracted much attention
recently. It is a non-trivial problem because of the inherent high dimensionality of the data.
The most promising solutions involve performing dimensionality reduction on the data, then …
recently. It is a non-trivial problem because of the inherent high dimensionality of the data.
The most promising solutions involve performing dimensionality reduction on the data, then …
