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» Clustering Improves the Exploration of Graph Mining Results
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PAKDD
2010
ACM
171views Data Mining» more  PAKDD 2010»
14 years 10 months ago
Summarizing Multidimensional Data Streams: A Hierarchy-Graph-Based Approach
With the rapid development of information technology, many applications have to deal with potentially infinite data streams. In such a dynamic context, storing the whole data stre...
Yoann Pitarch, Anne Laurent, Pascal Poncelet
SETN
2004
Springer
15 years 5 months ago
Clustering XML Documents by Structure
This work explores the application of clustering methods for grouping structurally similar XML documents. Modeling the XML documents as rooted ordered labeled trees, we apply clust...
Theodore Dalamagas, Tao Cheng, Klaas-Jan Winkel, T...
ASUNAM
2011
IEEE
13 years 12 months ago
MultiAspectForensics: Pattern Mining on Large-Scale Heterogeneous Networks with Tensor Analysis
—Modern applications such as web knowledge base, network traffic monitoring and online social networks have made available an unprecedented amount of network data with rich type...
Koji Maruhashi, Fan Guo, Christos Faloutsos
TKDE
2011
280views more  TKDE 2011»
14 years 6 months ago
Locally Consistent Concept Factorization for Document Clustering
—Previous studies have demonstrated that document clustering performance can be improved significantly in lower dimensional linear subspaces. Recently, matrix factorization base...
Deng Cai, Xiaofei He, Jiawei Han
DAC
1998
ACM
16 years 24 days ago
Efficient Coloring of a Large Spectrum of Graphs
We have developed a new algorithm and software for graph coloring by systematically combining several algorithm and software development ideas that had crucial impact on the algor...
Darko Kirovski, Miodrag Potkonjak