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» Constraint-Based Multidimensional Data Mining
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SIGMOD
2001
ACM
193views Database» more  SIGMOD 2001»
14 years 7 months ago
Epsilon Grid Order: An Algorithm for the Similarity Join on Massive High-Dimensional Data
The similarity join is an important database primitive which has been successfully applied to speed up applications such as similarity search, data analysis and data mining. The s...
Christian Böhm, Bernhard Braunmüller, Fl...
KDD
2002
ACM
193views Data Mining» more  KDD 2002»
14 years 8 months ago
Query, analysis, and visualization of hierarchically structured data using Polaris
In the last several years, large OLAP databases have become common in a variety of applications such as corporate data warehouses and scientific computing. To support interactive ...
Chris Stolte, Diane Tang, Pat Hanrahan
PKDD
2004
Springer
118views Data Mining» more  PKDD 2004»
14 years 25 days ago
Mining Thick Skylines over Large Databases
Abstract. People recently are interested in a new operator, called skyline [3], which returns the objects that are not dominated by any other objects with regard to certain measure...
Wen Jin, Jiawei Han, Martin Ester
KDD
2007
ACM
141views Data Mining» more  KDD 2007»
14 years 8 months ago
Mining favorable facets
The importance of dominance and skyline analysis has been well recognized in multi-criteria decision making applications. Most previous studies assume a fixed order on the attribu...
Raymond Chi-Wing Wong, Jian Pei, Ada Wai-Chee Fu, ...
INCDM
2007
Springer
97views Data Mining» more  INCDM 2007»
14 years 1 months ago
Clustering by Random Projections
Abstract. Clustering algorithms for multidimensional numerical data must overcome special difficulties due to the irregularities of data distribution. We present a clustering algo...
Thierry Urruty, Chabane Djeraba, Dan A. Simovici