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» Agent-Enriched Data Mining Using an Extendable Framework
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KDD
2005
ACM
146views Data Mining» more  KDD 2005»
14 years 9 months ago
Anonymity-preserving data collection
Protection of privacy has become an important problem in data mining. In particular, individuals have become increasingly unwilling to share their data, frequently resulting in in...
Zhiqiang Yang, Sheng Zhong, Rebecca N. Wright
SEKE
2009
Springer
14 years 3 months ago
Extending AOP to Support Broad Runtime Monitoring Needs
Abstract—Runtime monitoring, where some part of a program’s behavior and/or data is observed during execution, is a very useful technique that software developers to use for un...
Amjad Nusayr, Jonathan Cook
ICDM
2007
IEEE
118views Data Mining» more  ICDM 2007»
14 years 3 months ago
Predictive Data Mining for Lung Nodule Interpretation
Diagnostic decision-making in pulmonary medical imaging has been improved by computer-aided diagnosis (CAD) systems, serving as second readers to detect suspicious nodules for dia...
William Horsthemke, Ekarin Varutbangkul, Daniela S...
ICDM
2009
IEEE
172views Data Mining» more  ICDM 2009»
14 years 3 months ago
Sparse Least-Squares Methods in the Parallel Machine Learning (PML) Framework
—We describe parallel methods for solving large-scale, high-dimensional, sparse least-squares problems that arise in machine learning applications such as document classificatio...
Ramesh Natarajan, Vikas Sindhwani, Shirish Tatikon...
CORR
2010
Springer
122views Education» more  CORR 2010»
13 years 8 months ago
A Unified Algorithmic Framework for Multi-Dimensional Scaling
In this paper, we propose a unified algorithmic framework for solving many known variants of MDS. Our algorithm is a simple iterative scheme with guaranteed convergence, and is mo...
Arvind Agarwal, Jeff M. Phillips, Suresh Venkatasu...