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137
Voted
PAKDD
2015
ACM
14views Data Mining» more  PAKDD 2015»
9 years 11 months ago
Uncovering the Latent Structures of Crowd Labeling
Crowdsourcing provides a new way to distribute enormous tasks to a crowd of annotators. The divergent knowledge background and personal preferences of crowd annotators lead to nois...
Tian Tian, Jun Zhu
103
Voted
PAKDD
2015
ACM
9 years 11 months ago
Learning of Performance Measures from Crowd-Sourced Data with Application to Ranking of Investments
Abstract. Interestingness measures stand as proxy for “real human interest,” but their effectiveness is rarely studied empirically due to the difficulty of obtaining ground-tr...
Greg Harris, Anand V. Panangadan, Viktor K. Prasan...
101
Voted
PAKDD
2015
ACM
9 years 11 months ago
Identifying Hesitant and Interested Customers for Targeted Social Marketing
Abstract. Social networks provide unparalleled opportunities for marketing products or services. Along this line, tremendous efforts have been devoted to the research of targeted ...
Guowei Ma, Qi Liu, Le Wu, Enhong Chen
104
Voted
PAKDD
2015
ACM
12views Data Mining» more  PAKDD 2015»
9 years 11 months ago
Leveraging the Common Cause of Errors for Constraint-Based Data Cleansing
This study describes a statistically motivated approach to constraint-based data cleansing that derives the cause of errors from a distribution of conflicting tuples. In real-worl...
Ayako Hoshino, Hiroki Nakayama, Chihiro Ito, Kyota...
119
Voted
PAKDD
2015
ACM
9 years 11 months ago
Model Selection of Symbolic Regression to Improve the Accuracy of PM2.5 Concentration Prediction
As one of the main components of haze, topics with respect to PM2.5 are coming into people’s sight recently in China. In this paper, we try to predict PM2.5 concentrations in Da...
Guangfei Yang, Jian Huang