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» Discovering Case Knowledge Using Data Mining
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ICDM
2007
IEEE
121views Data Mining» more  ICDM 2007»
14 years 4 months ago
ORIGAMI: Mining Representative Orthogonal Graph Patterns
In this paper, we introduce the concept of α-orthogonal patterns to mine a representative set of graph patterns. Intuitively, two graph patterns are α-orthogonal if their simila...
Mohammad Al Hasan, Vineet Chaoji, Saeed Salem, J&e...
SIGMOD
2005
ACM
123views Database» more  SIGMOD 2005»
14 years 3 months ago
To Do or Not To Do: The Dilemma of Disclosing Anonymized Data
Decision makers of companies often face the dilemma of whether to release data for knowledge discovery, vis a vis the risk of disclosing proprietary or sensitive information. Whil...
Laks V. S. Lakshmanan, Raymond T. Ng, Ganesh Rames...
ICDM
2010
IEEE
125views Data Mining» more  ICDM 2010»
13 years 7 months ago
Evolving Ensemble-Clustering to a Feedback-Driven Process
Abstract--Data clustering is a highly used knowledge extraction technique and is applied in more and more application domains. Over the last years, a lot of algorithms have been pr...
Martin Hahmann, Dirk Habich, Wolfgang Lehner
ICDM
2010
IEEE
142views Data Mining» more  ICDM 2010»
13 years 7 months ago
Towards Community Discovery in Signed Collaborative Interaction Networks
Abstract--We propose a framework for discovery of collaborative community structure in Wiki-based knowledge repositories based on raw-content generation analysis. We leverage topic...
Petko Bogdanov, Nicholas D. Larusso, Ambuj K. Sing...
SDM
2008
SIAM
130views Data Mining» more  SDM 2008»
13 years 11 months ago
Mining Sequence Classifiers for Early Prediction
Supervised learning on sequence data, also known as sequence classification, has been well recognized as an important data mining task with many significant applications. Since te...
Zhengzheng Xing, Jian Pei, Guozhu Dong, Philip S. ...