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KDD
2012
ACM
201views Data Mining» more  KDD 2012»
11 years 10 months ago
Learning from crowds in the presence of schools of thought
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
Yuandong Tian, Jun Zhu
AUSDM
2006
Springer
122views Data Mining» more  AUSDM 2006»
14 years 23 hour ago
Analysis of Breast Feeding Data Using Data Mining Methods
The purpose of this study is to demonstrate the benefit of using common data mining techniques on survey data where statistical analysis is routinely applied. The statistical surv...
Hongxing He, Huidong Jin, Jie Chen, Damien McAulla...
KDD
2008
ACM
234views Data Mining» more  KDD 2008»
14 years 8 months ago
Angle-based outlier detection in high-dimensional data
Detecting outliers in a large set of data objects is a major data mining task aiming at finding different mechanisms responsible for different groups of objects in a data set. All...
Hans-Peter Kriegel, Matthias Schubert, Arthur Zime...
VISUALIZATION
2005
IEEE
14 years 1 months ago
Understanding Visualization through Spatial Ability Differences
Little is known about the cognitive abilities which influence the comprehension of scientific and information visualizations and what properties of the visualization affect compre...
Maria C. Velez, Deborah Silver, Marilyn Tremaine
HICSS
2002
IEEE
90views Biometrics» more  HICSS 2002»
14 years 1 months ago
Legitimate by Design: Towards Trusted Virtual Community Environments
Legitimacy is a key part of the social requirements specification for a trusted virtual community environment (VCE). If an environment is not seen as legitimate, social conflicts m...
Brian Whitworth, Aldo de Moor