69 search results - page 2 / 14 » Parallel Induction Algorithms for Large Samples |
IPPS
2000
IEEE
13 years 11 months ago
2000
IEEE
Abstract. Knowledge discovery is a time-consuming and space intensive endeavor. By distributing such an endeavor, we can diminish both time and space. System INDED pronounced indee...
IDA
2011
Springer
13 years 1 months ago
2011
Springer
The amount of data produced by ubiquitous computing applications is quickly growing, due to the pervasive presence of small devices endowed with sensing, computing and communicatio...
IPPS
2006
IEEE
14 years 28 days ago
2006
IEEE
Sampling is a widely used technique to increase efficiency in database and data mining applications operating on large dataset. In this paper we present a scalable sampling imple...
ISMB
1993
13 years 8 months ago
1993
Weintroduce a parallel approach, "DT-SELECT," for selecting features used by inductive learning algorithms to predict protein secondary structure. DT-SELECTis able to ra...
IFIP12
2008
13 years 8 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...