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» Subsequence Matching on Structured Time Series Data
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AAAI
2000
13 years 9 months ago
Multivariate Clustering by Dynamics
We present a Bayesian clustering algorithm for multivariate time series. A clustering is regarded as a probabilistic model in which the unknown auto-correlation structure of a tim...
Marco Ramoni, Paola Sebastiani, Paul R. Cohen
KDD
2012
ACM
257views Data Mining» more  KDD 2012»
11 years 11 months ago
Aggregating web offers to determine product prices
Historical prices are important information that can help consumers decide whether the time is right to buy a product. They provide both a context to the users, and facilitate the...
Rakesh Agrawal, Samuel Ieong
SIGMOD
2004
ACM
184views Database» more  SIGMOD 2004»
14 years 8 months ago
Identifying Similarities, Periodicities and Bursts for Online Search Queries
We present several methods for mining knowledge from the query logs of the MSN search engine. Using the query logs, we build a time series for each query word or phrase (e.g., `Th...
Michail Vlachos, Christopher Meek, Zografoula Vage...
CORR
2008
Springer
117views Education» more  CORR 2008»
13 years 8 months ago
Time Warp Edit Distance
: This technical report details a family of time warp distances on the set of discrete time series. This family is constructed as an editing distance whose elementary operations ap...
Pierre-Francois Marteau
GBRPR
2009
Springer
14 years 1 months ago
From Random to Hierarchical Data through an Irregular Pyramidal Structure
This paper proposes to transform data scanned randomly in a well-defined space (e.g, Euclidean) along a hierarchical irregular pyramidal structure in an attempt reduce search time...
Rimon Elias, Mohab Al Ashraf, Omar Aly