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» Rule Discovery from Time Series
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ADC
2007
Springer
140views Database» more  ADC 2007»
14 years 1 months ago
Incremental Mining for Temporal Association Rules for Crime Pattern Discoveries
In recent years, the concept of temporal association rule (TAR) has been introduced in order to solve the problem on handling time series by including time expressions into associ...
Vincent T. Y. Ng, Stephen Chi-fai Chan, Derek Lau,...
ICDM
2005
IEEE
271views Data Mining» more  ICDM 2005»
14 years 1 months ago
HOT SAX: Efficiently Finding the Most Unusual Time Series Subsequence
In this work, we introduce the new problem of finding time series discords. Time series discords are subsequences of a longer time series that are maximally different to all the r...
Eamonn J. Keogh, Jessica Lin, Ada Wai-Chee Fu
DATAMINE
1998
106views more  DATAMINE 1998»
13 years 7 months ago
Discovering Robust Knowledge from Databases that Change
Many applications of knowledge discovery and data mining such as rule discovery for semantic query optimization, database integration and decision support, require the knowledge t...
Chun-Nan Hsu, Craig A. Knoblock
CORR
2007
Springer
103views Education» more  CORR 2007»
13 years 7 months ago
Moderate Growth Time Series for Dynamic Combinatorics Modelisation
Here, we present a family of time series with a simple growth constraint. This family can be the basis of a model to apply to emerging computation in business and micro-economy wh...
Luaï Jaff, Gérard Henry Edmond Duchamp...
ITCC
2000
IEEE
13 years 12 months ago
Towards Knowledge Discovery from WWW Log Data
As the result of interactions between visitors and a web site, an http log file contains very rich knowledge about users on-site behaviors, which, if fully exploited, can better c...
Feng Tao, Fionn Murtagh