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» Learning qualitative models from numerical data
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IQ
2007
13 years 9 months ago
An Alert Management Approach To Data Quality: Lessons Learned From The Visa Data Authority Program
: We introduce an end-to-end framework for data quality that integrates business strategy, data quality models, and supporting investigative and governance processes. We also descr...
Joseph Bugajski, Robert L. Grossman
GIS
1995
ACM
13 years 11 months ago
Collaborative Spatial Decision Making with Qualitative Constraints
: Usually spatial planning problems involve a large number of decision makers with different backgrounds and interests. The process of Collaborative Spatial Decision Making (CSDM)...
Nikos I. Karacapilidis, Dimitris Papadias, Max J. ...
IDA
2010
Springer
13 years 6 months ago
Multi-dimensional data construction method with its application to learning from small-sample-sets
Insufficient training data is one of the major problems in neural network learning, because it leads to poor learning performance. In order to enhance an intelligent learning proc...
Hsiao-Fan Wang, Chun-Jung Huang
CIDR
2009
159views Algorithms» more  CIDR 2009»
13 years 8 months ago
RIOT: I/O-Efficient Numerical Computing without SQL
R is a numerical computing environment that is widely popular for statistical data analysis. Like many such environments, R performs poorly for large datasets whose sizes exceed t...
Yi Zhang 0011, Herodotos Herodotou, Jun Yang 0001
SECON
2007
IEEE
14 years 1 months ago
Log-normal shadowing meets SINR: A numerical study of Capacity in Wireless Networks
— The capacity of wireless multi-hop networks has been studied extensively in recent years. Most existing work tackles the problem from an asymptotic perspective and assumes a si...
Patrick Stuedi, Gustavo Alonso