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KDD
2007
ACM
276views Data Mining» more  KDD 2007»
16 years 7 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
183
Voted
BPM
2009
Springer
195views Business» more  BPM 2009»
16 years 1 months ago
Process Mining: Fuzzy Clustering and Performance Visualization
The goal of performance analysis of business processes is to gain insights into operational processes, for the purpose of optimizing them. To intuitively show which parts of the pr...
Boudewijn F. van Dongen, A. Adriansyah
185
Voted
HICSS
2005
IEEE
156views Biometrics» more  HICSS 2005»
16 years 19 days ago
Strategies Supporting Heterogeneous Data and Interdisciplinary Collaboration: Towards an Ocean Informatics Environment
This paper considers the elements and challenges of heterogeneous data management and interdisciplinary collaboration, drawing from the literatures on participatory design, comput...
Karen S. Baker, Steven J. Jackson, Jerome R. Wanet...
171
Voted
WCRE
2005
IEEE
16 years 18 days ago
When Functions Change Their Names: Automatic Detection of Origin Relationships
It is a common understanding that identifying the same entity such as module, file, and function between revisions is important for software evolution related analysis. Most softw...
Sunghun Kim, Kai Pan, E. James Whitehead Jr.
161
Voted
PDC
2004
ACM
16 years 13 days ago
On the spot experiments within healthcare
This paper reports the value of On the Spot Experiments with self-produced content and the use of technology within healthcare. On the Spot Experiments are experiments conducted i...
Erling Björgvinsson, Per-Anders Hillgren