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» Efficient Learning of Semi-structured Data from Queries
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ICDM
2010
IEEE
142views Data Mining» more  ICDM 2010»
15 years 2 months ago
Causal Discovery from Streaming Features
In this paper, we study a new research problem of causal discovery from streaming features. A unique characteristic of streaming features is that not all features can be available ...
Kui Yu, Xindong Wu, Hao Wang, Wei Ding
EDBT
2006
ACM
174views Database» more  EDBT 2006»
16 years 4 months ago
Fast Computation of Reachability Labeling for Large Graphs
The need of processing graph reachability queries stems from many applications that manage complex data as graphs. The applications include transportation network, Internet traffic...
Jiefeng Cheng, Jeffrey Xu Yu, Xuemin Lin, Haixun W...
128
Voted
CIARP
2008
Springer
15 years 6 months ago
Learning and Forgetting with Local Information of New Objects
The performance of supervised learners depends on the presence of a relatively large labeled sample. This paper proposes an automatic ongoing learning system, which is able to inco...
Fernando Vázquez, José Salvador S&aa...
TEC
2010
191views more  TEC 2010»
14 years 11 months ago
Particle Swarm Optimization Aided Orthogonal Forward Regression for Unified Data Modeling
We propose a unified data modeling approach that is equally applicable to supervised regression and classification applications, as well as to unsupervised probability density func...
Sheng Chen, Xia Hong, Chris J. Harris
150
Voted
SIGMOD
2004
ACM
241views Database» more  SIGMOD 2004»
16 years 4 months ago
SINA: Scalable Incremental Processing of Continuous Queries in Spatio-temporal Databases
This paper introduces the Scalable INcremental hash-based Algorithm (SINA, for short); a new algorithm for evaluating a set of concurrent continuous spatio-temporal queries. SINA ...
Mohamed F. Mokbel, Xiaopeng Xiong, Walid G. Aref