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» Phenomenal Data Mining: From Data to Phenomena
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ICDM
2007
IEEE
124views Data Mining» more  ICDM 2007»
16 years 1 months ago
Community Learning by Graph Approximation
Learning communities from a graph is an important problem in many domains. Different types of communities can be generalized as link-pattern based communities. In this paper, we p...
Bo Long, Xiaoyun Xu, Zhongfei (Mark) Zhang, Philip...
ICDM
2006
IEEE
182views Data Mining» more  ICDM 2006»
16 years 23 days ago
Active Learning to Maximize Area Under the ROC Curve
In active learning, a machine learning algorithm is given an unlabeled set of examples U, and is allowed to request labels for a relatively small subset of U to use for training. ...
Matt Culver, Kun Deng, Stephen D. Scott
AUSDM
2006
Springer
139views Data Mining» more  AUSDM 2006»
15 years 10 months ago
Integrated Scoring For Spelling Error Correction, Abbreviation Expansion and Case Restoration in Dirty Text
An increasing number of language and speech applications are gearing towards the use of texts from online sources as input. Despite such rise, not much work can be found in the as...
Wilson Wong, Wei Liu, Mohammed Bennamoun
PKDD
2010
Springer
141views Data Mining» more  PKDD 2010»
15 years 4 months ago
On Detecting Clustered Anomalies Using SCiForest
Detecting local clustered anomalies is an intricate problem for many existing anomaly detection methods. Distance-based and density-based methods are inherently restricted by their...
Fei Tony Liu, Kai Ming Ting, Zhi-Hua Zhou
PKDD
2010
Springer
143views Data Mining» more  PKDD 2010»
15 years 4 months ago
A Unified Approach to Active Dual Supervision for Labeling Features and Examples
Abstract. When faced with the task of building accurate classifiers, active learning is often a beneficial tool for minimizing the requisite costs of human annotation. Traditional ...
Josh Attenberg, Prem Melville, Foster J. Provost