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» Data Mining Using Fractals and Power Laws
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TODS
2002
92views more  TODS 2002»
14 years 11 months ago
Searching in metric spaces with user-defined and approximate distances
Metric access methods (MAMs), such as the M-tree, are powerful index structures for supporting ty queries on metric spaces, which represent a common abstraction for those searchin...
Paolo Ciaccia, Marco Patella
KDD
2012
ACM
200views Data Mining» more  KDD 2012»
13 years 2 months ago
Vertex neighborhoods, low conductance cuts, and good seeds for local community methods
The communities of a social network are sets of vertices with more connections inside the set than outside. We theoretically demonstrate that two commonly observed properties of s...
David F. Gleich, C. Seshadhri
ICDE
2007
IEEE
182views Database» more  ICDE 2007»
16 years 1 months ago
Discriminative Frequent Pattern Analysis for Effective Classification
The application of frequent patterns in classification appeared in sporadic studies and achieved initial success in the classification of relational data, text documents and graph...
Hong Cheng, Xifeng Yan, Jiawei Han, Chih-Wei Hsu
WEBI
2004
Springer
15 years 5 months ago
An Integrated Approach to Discovery in Complex Information Spaces
As the amount of available data continues to increase, more and more effective means for discovering important patterns and relationships within that data are required. Although t...
Daryl H. Hepting, Cory J. Butz
SDM
2009
SIAM
180views Data Mining» more  SDM 2009»
15 years 9 months ago
Structure and Dynamics of Research Collaboration in Computer Science.
Complex systems exhibit emergent patterns of behavior at different levels of organization. Powerful network analysis methods, developed in physics and social sciences, have been s...
Andre Nash, Christian Bird, Earl T. Barr, Premkuma...