9 search results - page 1 / 2 » Inductive Learning in Less Than One Sequential Data Scan |
IJCAI
2003
13 years 6 months ago
2003
Most recent research of scalable inductive learning on very large dataset, decision tree construction in particular, focuses on eliminating memory constraints and reducing the num...
AAAI
1996
13 years 5 months ago
1996
This article advocates a new model for inductive learning. Called sequential induction, it helps bridge classical fixed-sample learning techniques (which are efficient but difficu...
DAMON
2008
Springer
13 years 6 months ago
2008
Springer
As access times to main memory and disks continue to diverge, faster non-volatile storage technologies become more attractive for speeding up data analysis applications. NAND flas...
ISMIS
2005
Springer
13 years 10 months ago
2005
Springer
With the rapid advancement of information technology, scalability has become a necessity for learning algorithms to deal with large, real-world data repositories. In this paper, sc...
ICDM
2003
IEEE
13 years 9 months ago
2003
IEEE
Abstract. We present a new distributed association rule mining (D-ARM) algorithm that demonstrates superlinear speed-up with the number of computing nodes. The algorithm is the fi...