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KDD
2005
ACM
145views Data Mining» more  KDD 2005»
14 years 9 months ago
Using and Learning Semantics in Frequent Subgraph Mining
The search for frequent subgraphs is becoming increasingly important in many application areas including Web mining and bioinformatics. Any use of graph structures in mining, howev...
Bettina Berendt
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
14 years 9 months ago
Detecting outliers using transduction and statistical testing
Outlier detection can uncover malicious behavior in fields like intrusion detection and fraud analysis. Although there has been a significant amount of work in outlier detection, ...
Daniel Barbará, Carlotta Domeniconi, James ...
GIS
2002
ACM
13 years 8 months ago
Opening the black box: interactive hierarchical clustering for multivariate spatial patterns
Clustering is one of the most important tasks for geographic knowledge discovery. However, existing clustering methods have two severe drawbacks for this purpose. First, spatial c...
Diansheng Guo, Donna Peuquet, Mark Gahegan
CIKM
2008
Springer
13 years 10 months ago
Mining conceptual graphs for knowledge acquisition
This work addresses the use of computational linguistic analysis techniques for conceptual graphs learning from unstructured texts. A technique including both content mining and i...
Milagros Fernández, Eric Villemonte de la C...
AVI
2004
13 years 10 months ago
SWAPit: a multiple views paradigm for exploring associations of texts and structured data
Visualization interfaces that offer multiple coordinated views on a particular set of data items are useful for navigating and exploring complex information spaces. In this paper ...
Andreas Becks, Christian Seeling