73 search results - page 3 / 15 » Efficient Algorithms for Attribute-Oriented Induction |
CORR
2000
Springer
13 years 7 months ago
2000
Springer
When comparing inductive logic programming (ILP) and attribute-value learning techniques, there is a trade-off between expressive power and efficiency. Inductive logic programming ...
WSC
2008
13 years 10 months ago
2008
We present a Generalized Lotka-Volterra (GLV) based approach for modeling and simulation of supervised inductive learning, and construction of an efficient classification algorith...
IFIP12
2008
13 years 9 months ago
2008
Top Down Induction of Decision Trees (TDIDT) is the most commonly used method of constructing a model from a dataset in the form of classification rules to classify previously unse...
KDD
1997
ACM
13 years 11 months ago
1997
ACM
This paper describes how to increase the efficiency of inductive data mining algorithms by replacing the central matching operation with a marker propagation technique. Breadth-fi...
DAC
2002
ACM
14 years 8 months ago
2002
ACM
The ability to compute the parasitic inductance of the interconnect is critical to the timing verification of modern VLSI circuits. A challenging aspect of inductance extraction i...