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SIGMOD
2001
ACM
184views Database» more  SIGMOD 2001»
14 years 5 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...
KDD
2001
ACM
203views Data Mining» more  KDD 2001»
14 years 5 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
VLDB
2007
ACM
197views Database» more  VLDB 2007»
14 years 5 months ago
Indexable PLA for Efficient Similarity Search
Similarity-based search over time-series databases has been a hot research topic for a long history, which is widely used in many applications, including multimedia retrieval, dat...
Qiuxia Chen, Lei Chen 0002, Xiang Lian, Yunhao Liu...
VLDB
2000
ACM
229views Database» more  VLDB 2000»
13 years 8 months ago
Local Dimensionality Reduction: A New Approach to Indexing High Dimensional Spaces
Many emerging application domains require database systems to support efficient access over highly multidimensional datasets. The current state-of-the-art technique to indexing hi...
Kaushik Chakrabarti, Sharad Mehrotra
DEXA
1998
Springer
124views Database» more  DEXA 1998»
13 years 9 months ago
Indexing Time-Series Databases for Inverse Queries
Abstract. In this paper we examine the problem of indexing time sequences in order to answer inverse queries. An inverse query computes all the time points at which the sequence co...
Alexandros Nanopoulos, Yannis Manolopoulos