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» Process Diagnostics: A Method Based on Process Mining
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SDM
2009
SIAM
176views Data Mining» more  SDM 2009»
16 years 4 months ago
Constraint-Based Subspace Clustering.
In high dimensional data, the general performance of traditional clustering algorithms decreases. This is partly because the similarity criterion used by these algorithms becomes ...
Élisa Fromont, Adriana Prado, Céline...
PKDD
2007
Springer
143views Data Mining» more  PKDD 2007»
16 years 26 days ago
Using the Web to Reduce Data Sparseness in Pattern-Based Information Extraction
Textual patterns have been used effectively to extract information from large text collections. However they rely heavily on textual redundancy in the sense that facts have to be m...
Sebastian Blohm, Philipp Cimiano
ESWA
2008
119views more  ESWA 2008»
15 years 6 months ago
Incremental clustering of mixed data based on distance hierarchy
Clustering is an important function in data mining. Its typical application includes the analysis of consumer's materials. Adaptive resonance theory network (ART) is very pop...
Chung-Chian Hsu, Yan-Ping Huang
TOPNOC
2008
15 years 6 months ago
Assessing State Spaces Using Petri-Net Synthesis and Attribute-Based Visualization
State spaces are commonly used representations of system behavior. A state space may be derived from a model of system behavior but can also be obtained through process mining. For...
H. M. W. (Eric) Verbeek, A. Johannes Pretorius, Wi...
ICIP
2009
IEEE
16 years 7 months ago
3d Scalable Lossless Compression Of Medical Images Based On Global And Local Symmetries
We recently proposed a symmetry-based scalable lossless compression method for 3D medical images using the 2D integer wavelet transform and the embedded block coder with optimized...