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ICDM
2008
IEEE
130views Data Mining» more  ICDM 2008»
16 years 29 days ago
Mining Temporal Patterns with Quantitative Intervals
In this paper we consider the problem of discovering frequent temporal patterns in a database of temporal sequences, where a temporal sequence is a set of items with associated da...
Thomas Guyet, Rene Quiniou
SSDBM
2006
IEEE
121views Database» more  SSDBM 2006»
16 years 16 days ago
Time Series Analysis Using the Concept of Adaptable Threshold Similarity
The issue of data mining in time series databases is of utmost importance for many practical applications and has attracted a lot of research in the past years. In this paper, we ...
Johannes Aßfalg, Hans-Peter Kriegel, Peer Kr...
ICDE
2006
IEEE
138views Database» more  ICDE 2006»
16 years 7 months ago
SUBSKY: Efficient Computation of Skylines in Subspaces
Given a set of multi-dimensional points, the skyline contains the best points according to any preference function that is monotone on all axes. In practice, applications that req...
Yufei Tao, Xiaokui Xiao, Jian Pei
SDM
2009
SIAM
114views Data Mining» more  SDM 2009»
16 years 3 months ago
Top-k Correlative Graph Mining.
Correlation mining has been widely studied due to its ability for discovering the underlying occurrence dependency between objects. However, correlation mining in graph databases ...
Yiping Ke, James Cheng, Jeffrey Xu Yu
PCM
2007
Springer
169views Multimedia» more  PCM 2007»
16 years 19 days ago
Random Subspace Two-Dimensional PCA for Face Recognition
The two-dimensional Principal Component Analysis (2DPCA) is a robust method in face recognition. Much recent research shows that the 2DPCA is more reliable than the well-known PCA ...
Nam Nguyen, Wanquan Liu, Svetha Venkatesh