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KDD
2009
ACM
227views Data Mining» more  KDD 2009»
14 years 8 months ago
Efficiently learning the accuracy of labeling sources for selective sampling
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
CHI
2004
ACM
14 years 7 months ago
Combining 2D and 3D views for orientation and relative position tasks
We compare 2D/3D combination displays to displays with 2D and 3D views alone. Combination displays we consider are: orientation icon (i.e., side-by-side), in-place methods (e.g., ...
Melanie Tory, Torsten Möller, M. Stella Atkin...
HICSS
2003
IEEE
121views Biometrics» more  HICSS 2003»
14 years 20 days ago
MOBICHARTS: A Notation to Specify Mobile Computing Applications
A standard notation, that unambiguously expresses different aspects of a system, is important to the process of software development. The expressiveness of a standard notation hel...
Satyajit Acharya, Hrushikesha Mohanty, R. K. Shyam...
IPPS
1998
IEEE
13 years 11 months ago
Configuration Independent Analysis for Characterizing Shared-Memory Applications
Characterizing shared-memory applications provides insight to design efficient systems, and provides awareness to identify and correct application performance bottlenecks. Configu...
Gheith A. Abandah, Edward S. Davidson
CIKM
2006
Springer
13 years 9 months ago
Efficiently clustering transactional data with weighted coverage density
In this paper, we propose a fast, memory-efficient, and scalable clustering algorithm for analyzing transactional data. Our approach has three unique features. First, we use the c...
Hua Yan, Keke Chen, Ling Liu