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WWW
2010
ACM
14 years 1 months ago
A scalable machine-learning approach for semi-structured named entity recognition
Named entity recognition studies the problem of locating and classifying parts of free text into a set of predefined categories. Although extensive research has focused on the de...
Utku Irmak, Reiner Kraft
TKDE
2008
125views more  TKDE 2008»
13 years 6 months ago
Discovering and Explaining Abnormal Nodes in Semantic Graphs
An important problem in the area of homeland security is to identify abnormal or suspicious entities in large datasets. Although there are methods from data mining and social netwo...
Shou-de Lin, Hans Chalupsky
IJCV
2008
157views more  IJCV 2008»
13 years 5 months ago
A General Method for Sensor Planning in Multi-Sensor Systems: Extension to Random Occlusion
Systems utilizing multiple sensors are required in many domains. In this paper, we specifically concern ourselves with applications where dynamic objects appear randomly and the s...
Anurag Mittal, Larry S. Davis
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
14 years 6 months ago
Discovering significant OPSM subspace clusters in massive gene expression data
Order-preserving submatrixes (OPSMs) have been accepted as a biologically meaningful subspace cluster model, capturing the general tendency of gene expressions across a subset of ...
Byron J. Gao, Obi L. Griffith, Martin Ester, Steve...
ICAC
2009
IEEE
14 years 27 days ago
Resilient workload manager: taming bursty workload of scaling internet applications
In data centers hosting scaling Internet applications, operators face the tradeoff dilemma between resource efficiency and Quality of Service (QoS), and the root cause lies in wo...
Hui Zhang 0002, Guofei Jiang, Kenji Yoshihira, Hai...