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CIKM
2010
Springer
13 years 6 months ago
SHRINK: a structural clustering algorithm for detecting hierarchical communities in networks
Community detection is an important task for mining the structure and function of complex networks. Generally, there are several different kinds of nodes in a network which are c...
Jianbin Huang, Heli Sun, Jiawei Han, Hongbo Deng, ...
DAWAK
2007
Springer
14 years 1 months ago
Mining Top-K Multidimensional Gradients
Several business applications such as marketing basket analysis, clickstream analysis, fraud detection and churning migration analysis demand gradient data analysis. By employing g...
Ronnie Alves, Orlando Belo, Joel Ribeiro
BMCBI
2005
99views more  BMCBI 2005»
13 years 7 months ago
CGH-Profiler: Data mining based on genomic aberration profiles
Background: CGH-Profiler is a program that supports the analysis of genomic aberrations measured by Comparative Genomic Hybridisation (CGH). Comparative genomic hybridisation (CGH...
Falk Schubert, Bernhard Tausch, Stefan Joos, Rolan...
SDM
2007
SIAM
85views Data Mining» more  SDM 2007»
13 years 9 months ago
Kernel Based Detection of Mislabeled Training Examples
The problem of identifying mislabeled training examples has been examined in several studies, with a variety of approaches developed for editing the training data to obtain better...
Hamed Valizadegan, Pang-Ning Tan
KDD
2010
ACM
253views Data Mining» more  KDD 2010»
13 years 11 months ago
Mining periodic behaviors for moving objects
Periodicity is a frequently happening phenomenon for moving objects. Finding periodic behaviors is essential to understanding object movements. However, periodic behaviors could b...
Zhenhui Li, Bolin Ding, Jiawei Han, Roland Kays, P...