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» Learning Rules from Distributed Data
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KDD
2008
ACM
159views Data Mining» more  KDD 2008»
16 years 3 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan
IEEEARES
2008
IEEE
15 years 9 months ago
A Security Model and its Application to a Distributed Decision Support System for Healthcare
A distributed decision support system involving multiple clinical centres is crucial to the diagnosis of rare diseases. Although sharing of valid diagnosed cases can facilitate la...
Liang Xiao 0002, Javier Vicente, Carlos Sáe...
ALT
2001
Springer
16 years 6 days ago
Inventing Discovery Tools: Combining Information Visualization with Data Mining
The growing use of information visualization tools and data mining algorithms stems from two separate lines of research. Information visualization researchers believe in the impor...
Ben Shneiderman
SEMWEB
2010
Springer
15 years 1 months ago
Using Reformulation Trees to Optimize Queries over Distributed Heterogeneous Sources
Abstract. In order to effectively and quickly answer queries in environments with distributed RDF/OWL, we present a query optimization algorithm to identify the potentially relevan...
Yingjie Li, Jeff Heflin
DSS
2007
226views more  DSS 2007»
15 years 3 months ago
Dare to share: Protecting sensitive knowledge with data sanitization
chool of Business Research – FY 2007 Research Abstracts Dare to Share: Protecting Sensitive Knowledge with Data Sanitization Data sanitization is a process that is used to promot...
Ali Amiri