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» Similarity measures for multidimensional data
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KDD
2003
ACM
113views Data Mining» more  KDD 2003»
14 years 6 months ago
Indexing multi-dimensional time-series with support for multiple distance measures
Although most time-series data mining research has concentrated on providing solutions for a single distance function, in this work we motivate the need for a single index structu...
Michail Vlachos, Marios Hadjieleftheriou, Dimitrio...
VLDB
2001
ACM
109views Database» more  VLDB 2001»
13 years 10 months ago
Mining Multi-Dimensional Constrained Gradients in Data Cubes
Constrained gradient analysis (similar to the “cubegrade” problem posed by Imielinski, et al. [9]) is to extract pairs of similar cell characteristics associated with big chan...
Guozhu Dong, Jiawei Han, Joyce M. W. Lam, Jian Pei...
ICDE
1998
IEEE
142views Database» more  ICDE 1998»
14 years 7 months ago
High Dimensional Similarity Joins: Algorithms and Performance Evaluation
Current data repositories include a variety of data types, including audio, images and time series. State of the art techniques for indexing such data and doing query processing r...
Nick Koudas, Kenneth C. Sevcik
AIA
2006
13 years 7 months ago
Efficient Algorithm for Calculating Similarity between Trajectories Containing an Increasing Dimension
Time series data is usually stored and processed in the form of discrete trajectories of multidimensional measurement points. In order to compare the measurements of a query traje...
Perttu Laurinen, Pekka Siirtola, Juha Röning
ETRA
2010
ACM
160views Biometrics» more  ETRA 2010»
13 years 3 months ago
A vector-based, multidimensional scanpath similarity measure
A great need exists in many fields of eye-tracking research for a robust and general method for scanpath comparisons. Current measures either quantize scanpaths in space (string e...
Halszka Jarodzka, Kenneth Holmqvist, Marcus Nystr&...