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VLDB
2001
ACM
115views Database» more  VLDB 2001»
14 years 28 days ago
Dynamic Update Cube for Range-sum Queries
A range-sum query is very popular and becomes important in finding trends and in discovering relationships between attributes in diverse database applications. It sums over the se...
Seok-Ju Chun, Chin-Wan Chung, Ju-Hong Lee, Seok-Ly...
KDD
2008
ACM
150views Data Mining» more  KDD 2008»
14 years 9 months ago
Hypergraph spectral learning for multi-label classification
A hypergraph is a generalization of the traditional graph in which the edges are arbitrary non-empty subsets of the vertex set. It has been applied successfully to capture highord...
Liang Sun, Shuiwang Ji, Jieping Ye
EDBT
2004
ACM
142views Database» more  EDBT 2004»
14 years 8 months ago
Iterative Incremental Clustering of Time Series
We present a novel anytime version of partitional clustering algorithm, such as k-Means and EM, for time series. The algorithm works by leveraging off the multi-resolution property...
Jessica Lin, Michail Vlachos, Eamonn J. Keogh, Dim...
ICALP
2009
Springer
14 years 8 months ago
Correlation Clustering Revisited: The "True" Cost of Error Minimization Problems
Correlation Clustering was defined by Bansal, Blum, and Chawla as the problem of clustering a set of elements based on a possibly inconsistent binary similarity function between e...
Nir Ailon, Edo Liberty
EDBT
2006
ACM
182views Database» more  EDBT 2006»
14 years 8 months ago
On High Dimensional Skylines
In many decision-making applications, the skyline query is frequently used to find a set of dominating data points (called skyline points) in a multidimensional dataset. In a high-...
Chee Yong Chan, H. V. Jagadish, Kian-Lee Tan, Anth...