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» Indexing Weighted-Sequences in Large Databases
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KDD
2001
ACM
203views Data Mining» more  KDD 2001»
14 years 6 months ago
Ensemble-index: a new approach to indexing large databases
The problem of similarity search (query-by-content) has attracted much research interest. It is a difficult problem because of the inherently high dimensionality of the data. The ...
Eamonn J. Keogh, Selina Chu, Michael J. Pazzani
ICDE
2011
IEEE
233views Database» more  ICDE 2011»
12 years 9 months ago
Answering approximate string queries on large data sets using external memory
— An approximate string query is to find from a collection of strings those that are similar to a given query string. Answering such queries is important in many applications su...
Alexander Behm, Chen Li, Michael J. Carey
SIGMOD
2001
ACM
184views Database» more  SIGMOD 2001»
14 years 6 months ago
Locally Adaptive Dimensionality Reduction for Indexing Large Time Series Databases
Similarity search in large time series databases has attracted much research interest recently. It is a difficult problem because of the typically high dimensionality of the data....
Eamonn J. Keogh, Kaushik Chakrabarti, Sharad Mehro...
SSDBM
1999
IEEE
124views Database» more  SSDBM 1999»
13 years 10 months ago
An Indexing Scheme for Fast Similarity Search in Large Time Series Databases
We address the problem of similarity search in large time series databases. We introduce a novel indexing algorithm that allows faster retrieval. The index is formed by creating b...
Eamonn J. Keogh, Michael J. Pazzani
VLDB
2001
ACM
146views Database» more  VLDB 2001»
14 years 6 months ago
Combining multi-visual features for efficient indexing in a large image database
Abstract. The optimized distance-based access methods currently available for multidimensional indexing in multimedia databases have been developed based on two major assumptions: ...
Anne H. H. Ngu, Quan Z. Sheng, Du Q. Huynh, Ron Le...