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ICIP
2009
IEEE
13 years 5 months ago
An incremental extremely random forest classifier for online learning and tracking
Decision trees have been widely used for online learning classification. Many approaches usually need large data stream to finish decision trees induction, as show notable limitat...
Aiping Wang, Guowei Wan, Zhiquan Cheng, Sikun Li
SIGMOD
2009
ACM
235views Database» more  SIGMOD 2009»
14 years 8 months ago
Quality and efficiency in high dimensional nearest neighbor search
Nearest neighbor (NN) search in high dimensional space is an important problem in many applications. Ideally, a practical solution (i) should be implementable in a relational data...
Yufei Tao, Ke Yi, Cheng Sheng, Panos Kalnis
ICDE
2006
IEEE
147views Database» more  ICDE 2006»
14 years 9 months ago
VBI-Tree: A Peer-to-Peer Framework for Supporting Multi-Dimensional Indexing Schemes
Multi-dimensional data indexing has received much attention in a centralized database. However, not so much work has been done on this topic in the context of Peerto-Peer systems....
H. V. Jagadish, Beng Chin Ooi, Quang Hieu Vu, Rong...
ICDM
2010
IEEE
187views Data Mining» more  ICDM 2010»
13 years 5 months ago
Financial Forecasting with Gompertz Multiple Kernel Learning
Financial forecasting is the basis for budgeting activities and estimating future financing needs. Applying machine learning and data mining models to financial forecasting is both...
Han Qin, Dejing Dou, Yue Fang
SSD
2001
Springer
162views Database» more  SSD 2001»
14 years 4 days ago
Interval Sequences: An Object-Relational Approach to Manage Spatial Data
The design of external index structures for one- and multidimensional extended objects is a long and well studied subject in basic database research. Today, more and more commercia...
Hans-Peter Kriegel, Marco Pötke, Thomas Seidl