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» Mining Very Large Databases
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147
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ICDM
2005
IEEE
188views Data Mining» more  ICDM 2005»
15 years 9 months ago
Hierarchy-Regularized Latent Semantic Indexing
Organizing textual documents into a hierarchical taxonomy is a common practice in knowledge management. Beside textual features, the hierarchical structure of directories reflect...
Yi Huang, Kai Yu, Matthias Schubert, Shipeng Yu, V...
ISMIS
2005
Springer
15 years 9 months ago
Towards Ad-Hoc Rule Semantics for Gene Expression Data
The notion of rules is very popular and appears in different flavors, for example as association rules in data mining or as functional (or multivalued) dependencies in databases. ...
Marie Agier, Jean-Marc Petit, Einoshin Suzuki
112
Voted
KDD
2005
ACM
107views Data Mining» more  KDD 2005»
15 years 9 months ago
Cross-relational clustering with user's guidance
Clustering is an essential data mining task with numerous applications. However, data in most real-life applications are high-dimensional in nature, and the related information of...
Xiaoxin Yin, Jiawei Han, Philip S. Yu
136
Voted
DMKD
2004
ACM
127views Data Mining» more  DMKD 2004»
15 years 9 months ago
Discovering spatial patterns accurately with effective noise removal
Cluster analysis is a common approach to pattern discovery in spatial databases. While many clustering techniques have been developed, it is still challenging to discover implicit...
Yu Qian, Kang Zhang
145
Voted
INCDM
2010
Springer
204views Data Mining» more  INCDM 2010»
15 years 7 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...