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153
Voted
PAKDD
2015
ACM
50views Data Mining» more  PAKDD 2015»
9 years 9 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
114
Voted
PAKDD
2015
ACM
14views Data Mining» more  PAKDD 2015»
9 years 9 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
94
Voted
PAKDD
2015
ACM
21views Data Mining» more  PAKDD 2015»
9 years 9 months ago
Internal Clustering Evaluation of Data Streams
Abstract. Clustering validation is a crucial part of choosing a clustering algorithm which performs best for an input data. Internal clustering validation is efficient and realisti...
Marwan Hassani, Thomas Seidl 0001
93
Voted
PAKDD
2015
ACM
21views Data Mining» more  PAKDD 2015»
9 years 9 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...
92
Voted
PAKDD
2015
ACM
13views Data Mining» more  PAKDD 2015»
9 years 9 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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