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» Phenomenal Data Mining: From Data to Phenomena
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BPM
2009
Springer
157views Business» more  BPM 2009»
15 years 3 months ago
ProM: The Process Mining Toolkit
Nowadays, all kinds of information systems store detailed information in logs. Examples of such systems include classical workflow management systems (Staffware), ERP systems (SAP)...
Wil M. P. van der Aalst, Boudewijn F. van Dongen, ...
KDD
2009
ACM
193views Data Mining» more  KDD 2009»
15 years 8 months ago
Category detection using hierarchical mean shift
Many applications in surveillance, monitoring, scientific discovery, and data cleaning require the identification of anomalies. Although many methods have been developed to iden...
Pavan Vatturi, Weng-Keen Wong
ICDM
2007
IEEE
149views Data Mining» more  ICDM 2007»
15 years 8 months ago
Non-redundant Multi-view Clustering via Orthogonalization
Typical clustering algorithms output a single clustering of the data. However, in real world applications, data can often be interpreted in many different ways; data can have diff...
Ying Cui, Xiaoli Z. Fern, Jennifer G. Dy
CIKM
2010
Springer
15 years 15 days ago
FacetCube: a framework of incorporating prior knowledge into non-negative tensor factorization
Non-negative tensor factorization (NTF) is a relatively new technique that has been successfully used to extract significant characteristics from polyadic data, such as data in s...
Yun Chi, Shenghuo Zhu
GRC
2010
IEEE
15 years 3 months ago
Learning Multiple Latent Variables with Self-Organizing Maps
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
Lili Zhang, Erzsébet Merényi