9 search results - page 1 / 2 » P-Prism: A Computationally Efficient Approach to Scaling up ... |
IFIP12
2008
13 years 6 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...
SGAI
2009
Springer
13 years 11 months ago
2009
Springer
In a world where data is captured on a large scale the major challenge for data mining algorithms is to be able to scale up to large datasets. There are two main approaches to indu...
SGAI
2007
Springer
13 years 10 months ago
2007
Springer
Induction of classification rules is one of the most important technologies in data mining. Most of the work in this field has concentrated on the Top Down Induction of Decision T...
EDBT
2000
ACM
13 years 8 months ago
2000
ACM
Decision tree induction algorithms scale well to large datasets for their univariate and divide-and-conquer approach. However, they may fail in discovering effective knowledge when...
ANCS
2008
ACM
13 years 6 months ago
2008
ACM
Today's routers need to perform packet classification at wire speed in order to provide critical services such as traffic billing, priority routing and blocking unwanted Inte...