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» Distributed Data Mining Models as Services on the Grid
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KDD
2009
ACM
179views Data Mining» more  KDD 2009»
16 years 1 months ago
Identifying graphs from noisy and incomplete data
There is a growing wealth of data describing networks of various types, including social networks, physical networks such as transportation or communication networks, and biologic...
Galileo Mark S. Namata Jr., Lise Getoor
KDD
2009
ACM
172views Data Mining» more  KDD 2009»
16 years 1 months ago
The role of game theory in human computation systems
The paradigm of “human computation” seeks to harness human abilities to solve computational problems or otherwise perform distributed work that is beyond the scope of current ...
Shaili Jain, David C. Parkes
KDD
1998
ACM
145views Data Mining» more  KDD 1998»
15 years 10 months ago
Aggregation of Imprecise and Uncertain Information for Knowledge Discovery in Databases
We consider the problem of aggregation for uncertain and imprecise data. For such data, we define aggregation operators and use them to provide information on properties and patte...
Sally I. McClean, Bryan W. Scotney, Mary Shapcott
KDD
2004
ACM
154views Data Mining» more  KDD 2004»
16 years 6 months ago
Diagnosing extrapolation: tree-based density estimation
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
Giles Hooker
ICDM
2007
IEEE
140views Data Mining» more  ICDM 2007»
15 years 10 months ago
Sequential Change Detection on Data Streams
Model-based declarative queries are becoming an attractive paradigm for interacting with many data stream applications. This has led to the development of techniques to accurately...
S. Muthukrishnan, Eric van den Berg, Yihua Wu