25 search results - page 1 / 5 » ScalParC: A New Scalable and Efficient Parallel Classificati... |
IPPS
1998
IEEE
13 years 9 months ago
1998
IEEE
In this paper, we present ScalParC (Scalable Parallel Classifier), a new parallel formulation of a decision tree based classification process. Like other state-of-the-art decision...
ICDE
2010
IEEE
13 years 9 months ago
2010
IEEE
Existing sequence mining algorithms mostly focus on mining for subsequences. However, a large class of applications, such as biological DNA and protein motif mining, require effici...
KDD
2006
ACM
14 years 5 months ago
2006
ACM
This paper presents a novel Second Order Cone Programming (SOCP) formulation for large scale binary classification tasks. Assuming that the class conditional densities are mixture...
MLDM
2009
Springer
13 years 11 months ago
2009
Springer
In a world where massive amounts of data are recorded on a large scale we need data mining technologies to gain knowledge from the data in a reasonable time. The Top Down Induction...
ADC
2008
Springer
13 years 11 months ago
2008
Springer
Existing graph mining algorithms typically assume that the dataset can fit into main memory. As many large graph datasets cannot satisfy this condition, truly scalable graph minin...