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» A framework for visual data mining of structures
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ICDE
2008
IEEE
141views Database» more  ICDE 2008»
14 years 10 months ago
A General Framework for Fast Co-clustering on Large Datasets Using Matrix Decomposition
Abstract-- Simultaneously clustering columns and rows (coclustering) of large data matrix is an important problem with wide applications, such as document mining, microarray analys...
Feng Pan, Xiang Zhang, Wei Wang 0010
HPCC
2005
Springer
14 years 2 months ago
High Performance Subgraph Mining in Molecular Compounds
Structured data represented in the form of graphs arises in several fields of the science and the growing amount of available data makes distributed graph mining techniques partic...
Giuseppe Di Fatta, Michael R. Berthold
RECSYS
2010
ACM
13 years 8 months ago
Interactive recommendations in social endorsement networks
An increasing number of social networking platforms are giving users the option to endorse entities that they find appealing, such as videos, photos, or even other users. We defin...
Theodoros Lappas, Dimitrios Gunopulos
SDM
2009
SIAM
223views Data Mining» more  SDM 2009»
14 years 5 months ago
Context Aware Trace Clustering: Towards Improving Process Mining Results.
Process Mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...
COMSIS
2010
13 years 6 months ago
Multi-video summarization using complex graph clustering and mining
Multi-video summarization is a great theoretical and technical challenge due to the wider diversity of topics in multi-video than singlevideo as well as the multi-modality nature o...
Jian Shao, Dongming Jiang, Mengru Wang, Hong Chen,...