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SDM
2009
SIAM
123views Data Mining» more  SDM 2009»
15 years 8 months ago
Randomization Techniques for Graphs.
Mining graph data is an active research area. Several data mining methods and algorithms have been proposed to identify structures from graphs; still, the evaluation of those resu...
Gemma C. Garriga, Kai Puolamäki, Sami Hanhij&...
103
Voted
CVPR
2003
IEEE
16 years 1 months ago
Robust Data Clustering
We address the problem of robust clustering by combining data partitions (forming a clustering ensemble) produced by multiple clusterings. We formulate robust clustering under an ...
Ana L. N. Fred, Anil K. Jain
KDD
2002
ACM
152views Data Mining» more  KDD 2002»
16 years 2 days ago
Multimedia Data Mining Framework For Raw Video Sequences
In this paper, we propose a general framework for real time video data mining to be applied to the raw videos (traffic videos, surveillance videos, etc.). We investigate whether t...
Jung-Hwan Oh, Babitha Bandi
189
Voted
ICDE
2003
IEEE
180views Database» more  ICDE 2003»
16 years 1 months ago
Medical Video Mining for Efficient Database Indexing, Management and Access
1 To achieve more efficient video indexing and access, we introduce a video database management framework and strategies for video content structure and events mining. The video sh...
Xingquan Zhu, Walid G. Aref, Jianping Fan, Ann Chr...
ICDM
2003
IEEE
138views Data Mining» more  ICDM 2003»
15 years 5 months ago
Ontologies Improve Text Document Clustering
Text document clustering plays an important role in providing intuitive navigation and browsing mechanisms by organizing large sets of documents into a small number of meaningful ...
Andreas Hotho, Steffen Staab, Gerd Stumme