Searching for authors named "Pusheng Zhang" – sorted by Relevance.
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On the Relationships between Clustering and Spatial Co-location Pattern Mining
- spatial datasets. 1This work was done when the second author was with the University of Minnesota. Pusheng
- Cited by 1 (0 self) – Add To MetaCart
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% $ What's Special About Spatial Data Mining? Example Spatial Pattern: Spatial Outliers amd Predictive Models
- & ' % $ What's Special about Spatial Data Mining? Shashi Shekhar Pusheng Zhang Yan Huang
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A Unified Approach to Detecting Spatial Outliers
- in The Netherlands. A Unified Approach to Detecting Satial Outliers SHASHI SHEKHAR, CHANG-TIEN LU AND PUSHENG ZHANG
- Cited by 11 (2 self) – Add To MetaCart
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Correlation Analysis of Spatial Time Series Datasets: A Filter-and-Refine Approach
- Correlation Analysis of Spatial Time Series Datasets: A Filter-and-Rene Approach y Pusheng Zhang
- Cited by 6 (5 self) – Add To MetaCart
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Data Mining for Selective Visualization of Large Spatial Datasets
- y , Pusheng Zhang, Rulin Liu Computer Science & Engineering Department University of Minnesota
- Cited by 2 (0 self) – Add To MetaCart
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Exploiting Spatial Autocorrelation to Efficiently Process Correlation-Based Similarity Queries
- Pusheng Zhang , Yan Huang, Shashi Shekhar, Vipin Kumar Computer Science Department, University
- Cited by 5 (4 self) – Add To MetaCart
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Detecting Graph-Based Spatial Outliers
- Shashi Shekhar, Chang-Tien Lu* and Pusheng Zhang Computer Science Department, University of Minnesota
- Cited by 4 (0 self) – Add To MetaCart
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A Framework for Mining Sequential Patterns from Spatio-Temporal Event Data Sets
- , and Pusheng Zhang, Member, IEEE Abstract—Given a large spatio-temporal database of events, where each event
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Detecting Graph-Based Spatial Outliers: Algorithms and Applications (Summary of Results)
- -192 Minneapolis, MN 55414 ctlu@(email omitted); Pusheng Zhang Department of Computer Science and Engineering University
- Cited by 28 (6 self) – Add To MetaCart
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Pusheng Zhang
- PUSHENG ZHANG Department of Computer Science Office: (612) 626-7515 4-192 EE/CS Bldg Mobile: (612
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