ACM Knowledge Discovery and Data Mining, KDD 2015


Article Details
Title: Assembler: Efficient Discovery of Spatial Co-evolving Patterns in Massive Geo-sensory Data
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Authors: Chao Zhang
  • University of Illinois at Urbana-Champaign, Urbana, IL, USA, Dept. of Computer Science
Yu Zheng
  • Microsoft Research, Beijing, China
Xiuli Ma
  • School of EECS, Key Laboratory of Machine Perception (MOE), Peking University, Beijing, China
Jiawei Han
  • University of Illinois at Urbana-Champaign, Urbana, IL, USA, Dept. of Computer Science
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NSF Award Numbers: 1017362, 1320617, 1354329
DBLP Key: conf/kdd/ZhangZMH15
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