Searching for authors named "Qin Ding" – sorted by Relevance.
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Using Active Networks in Parallel Mining of Association Rules
- . The communication cost will be increased obviously when the number of processors is Qin Ding and William Perrizo
- Cited by 1 (1 self) – Add To MetaCart
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Decision Tree Classification of Spatial Data Streams Using Peano Count Trees
- Decision Tree Classification of Spatial Data Streams 1, 2 Using Peano Count Trees Qiang Ding, Qin
- Cited by 11 (4 self) – Add To MetaCart
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A Model for Multi-relational Data Mining on Demand Forecasting
- A Model for Multi-relational Data Mining on Demand Forecasting Qin Ding Bhavin Parikh Pennsylvania
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Deriving General Association Rules from XML Data
- support s% in the transaction set D if s% of transactions Qin Ding, Kevin Ricords, and Jeremy Lumpkin
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Efficient Hierarchical Clustering of Large Data . . .
- ) 231-8255 Anne Denton, Qiang Ding, Qin Ding, and William Perrizo Department of Computer Science, North
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The P-tree Algebra
- 1, 2 The P-tree Algebra Qin Ding, Maleq Khan, Amalendu Roy and William Perrizo Computer Science
- Cited by 15 (7 self) – Add To MetaCart
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The Application Of Association Rule Mining To Remotely Sensed Data
- encompassing database, statistics and machine learning. Jianning Dong, William Perrizo, Qin Ding and Jingkai
- Cited by 5 (2 self) – Add To MetaCart
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Using Neural Networks for Clustering on RSI Data and Related Spatial Data
- Das, William Perrizo, Qin Ding Computer Science Department, North Dakota State University, Fargo, ND
- Cited by 1 (1 self) – Add To MetaCart
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Efficient Hierarchical Clustering of Large Data Sets Using P-trees
- 96130308. Qin Ding Department of Computer Science, Penn State Harrisburg Middletown, PA 17057, USA qding
- Cited by 3 (1 self) – Add To MetaCart
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Level Ordered Transaction Scheduler (LOTS) for Concurrency Control
- , Qin Ding Computer Science, North Dakota State University Fargo, ND 58105-5164 2. LOTS Model
- Cited by 1 (1 self) – Add To MetaCart

