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» A framework for mining interesting pattern sets
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EDBT
2009
ACM
170views Database» more  EDBT 2009»
15 years 3 months ago
Efficient constraint evaluation in categorical sequential pattern mining for trajectory databases
The classic Generalized Sequential Patterns (GSP) algorithm returns all frequent sequences present in a database. However, usually a few ones are interesting from a user's po...
Leticia I. Gómez, Alejandro A. Vaisman
SDM
2009
SIAM
175views Data Mining» more  SDM 2009»
15 years 9 months ago
Low-Entropy Set Selection.
Most pattern discovery algorithms easily generate very large numbers of patterns, making the results impossible to understand and hard to use. Recently, the problem of instead sel...
Hannes Heikinheimo, Jilles Vreeken, Arno Siebes, H...
ICDE
2006
IEEE
130views Database» more  ICDE 2006»
16 years 1 months ago
MIC Framework: An Information-Theoretic Approach to Quantitative Association Rule Mining
We propose a framework, called MIC, which adopts an information-theoretic approach to address the problem of quantitative association rule mining. In our MIC framework, we first d...
Yiping Ke, James Cheng, Wilfred Ng
DKE
2006
110views more  DKE 2006»
14 years 11 months ago
Efficient mining of group patterns from user movement data
In this paper, we present a new approach to derive groupings of mobile users based on their movement data. We assume that the user movement data are collected by logging location ...
Yida Wang, Ee-Peng Lim, San-Yih Hwang
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IRI
2003
IEEE
15 years 5 months ago
Damage Pattern Mining in Hurricane Image Databases
– We present a damage pattern mining framework for hurricane data on residential houses using aerial photographs with 1:3000 based scale. The vertical photographs are normally co...
Shu-Ching Chen, Mei-Ling Shyu, Chengcui Zhang, Wal...