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INCDM
2010
Springer
204views Data Mining» more  INCDM 2010»
15 years 8 months ago
Combining Business Process and Data Discovery Techniques for Analyzing and Improving Integrated Care Pathways
Hospitals increasingly use process models for structuring their care processes. Activities performed to patients are logged to a database but these data are rarely used for managin...
Jonas Poelmans, Guido Dedene, Gerda Verheyden, Her...
ICDM
2009
IEEE
127views Data Mining» more  ICDM 2009»
15 years 11 months ago
Aspect Guided Text Categorization with Unobserved Labels
This paper proposes a novel multiclass classification method and exhibits its advantage in the domain of text categorization with a large label space and, most importantly, when ...
Dan Roth, Yuancheng Tu
ICDM
2007
IEEE
143views Data Mining» more  ICDM 2007»
15 years 11 months ago
Bit Sequences and Biclustering of Text Documents
We propose a new technique for clustering of text documents that relies on a biclustering structure constructed on terms and documents. Our approach makes use of a greedy algorith...
Selim Mimaroglu, Kuniaki Uehara
134
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AUSDM
2007
Springer
102views Data Mining» more  AUSDM 2007»
15 years 11 months ago
Determining Termhood for Learning Domain Ontologies in a Probabilistic Framework
Many existing techniques for term extraction are heuristically-motivated and criticised as ad-hoc. The definitions and assumptions critical to set the boundary for the effective...
Wilson Wong, Wei Liu, Mohammed Bennamoun
ICDM
2005
IEEE
151views Data Mining» more  ICDM 2005»
15 years 10 months ago
A Framework for Semi-Supervised Learning Based on Subjective and Objective Clustering Criteria
In this paper, we propose a semi-supervised framework for learning a weighted Euclidean subspace, where the best clustering can be achieved. Our approach capitalizes on user-const...
Maria Halkidi, Dimitrios Gunopulos, Nitin Kumar, M...