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KDD
2008
ACM
181views Data Mining» more  KDD 2008»
14 years 5 months ago
Learning subspace kernels for classification
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Min...
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
14 years 5 months ago
Unsupervised learning on k-partite graphs
Various data mining applications involve data objects of multiple types that are related to each other, which can be naturally formulated as a k-partite graph. However, the resear...
Bo Long, Xiaoyun Wu, Zhongfei (Mark) Zhang, Philip...
VLDB
2007
ACM
143views Database» more  VLDB 2007»
14 years 5 months ago
OLAP over Imprecise Data with Domain Constraints
Several recent papers have focused on OLAP over imprecise data, where each fact can be a region, instead of a point, in a multidimensional space. They have provided a multiple-wor...
Douglas Burdick, AnHai Doan, Raghu Ramakrishnan, S...
SIGMOD
2008
ACM
139views Database» more  SIGMOD 2008»
14 years 5 months ago
SQAK: doing more with keywords
Today's enterprise databases are large and complex, often relating hundreds of entities. Enabling ordinary users to query such databases and derive value from them has been o...
Sandeep Tata, Guy M. Lohman
ATAL
2006
Springer
13 years 9 months ago
Continuous refinement of agent resource estimates
The challenge we address is to reason about projected resource usage within a hierarchical task execution framework in order to improve agent effectiveness. Specifically, we seek ...
David N. Morley, Karen L. Myers, Neil Yorke-Smith