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» Crime Data Mining: A General Framework and Some Examples
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KDD
2008
ACM
159views Data Mining» more  KDD 2008»
14 years 7 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
ICLP
2010
Springer
13 years 5 months ago
A Framework for Verification and Debugging of Resource Usage Properties: Resource Usage Verification
We present a framework for (static) verification of general resource usage program properties. The framework extends the criteria of correctness as the conformance of a program to ...
Pedro López-García, Luthfi Darmawan,...
DATAMINE
2006
131views more  DATAMINE 2006»
13 years 7 months ago
A systematic approach to the assessment of fuzzy association rules
In order to allow for the analysis of data sets including numerical attributes, several generalizations of association rule mining based on fuzzy sets have been proposed in the li...
Didier Dubois, Eyke Hüllermeier, Henri Prade
CORR
2000
Springer
120views Education» more  CORR 2000»
13 years 7 months ago
Scaling Up Inductive Logic Programming by Learning from Interpretations
When comparing inductive logic programming (ILP) and attribute-value learning techniques, there is a trade-off between expressive power and efficiency. Inductive logic programming ...
Hendrik Blockeel, Luc De Raedt, Nico Jacobs, Bart ...
MPC
1995
Springer
116views Mathematics» more  MPC 1995»
13 years 11 months ago
Computer-Aided Computing
PVS is a highly automated framework for speci cation and veri cation. We show how the language and deduction features of PVS can be used to formalize, mechanize, and apply some us...
Natarajan Shankar