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173
Voted
PAKDD
2015
ACM
50views Data Mining» more  PAKDD 2015»
9 years 11 months ago
Mining Massive-Scale Spatiotemporal Trajectories in Parallel: A Survey
With the popularization of positioning devices such as GPS navigators and smart phones, large volumes of spatiotemporal trajectory data have been produced at unprecedented speed. F...
Pengtao Huang, Bo Yuan
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
114
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
PAKDD
2015
ACM
21views Data Mining» more  PAKDD 2015»
9 years 11 months ago
Scalable Outlying-Inlying Aspects Discovery via Feature Ranking
In outlying aspects mining, given a query object, we aim to answer the question as to what features make the query most outlying. The most recent works tackle this problem using tw...
Nguyen Xuan Vinh, Jeffrey Chan, James Bailey, Chri...
PAKDD
2015
ACM
13views Data Mining» more  PAKDD 2015»
9 years 11 months ago
What Is New in Our City? A Framework for Event Extraction Using Social Media Posts
Post streams from public social media platforms such as Instagram and Twitter have become precious but noisy data sources to discover what is happening around us. In this paper, we...
Chaolun Xia, Jun Hu, Yan Zhu, Mor Naaman
Data Mining
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