VLDB
1998
ACM
13 years 8 months ago
1998
ACM
Classification is an important problem in data mining. Given a database of records, each with a class label, a classifier generates a concise and meaningful description for each c...
SSPR
1998
Springer
13 years 8 months ago
1998
Springer
Properly addressing the discretization process of continuos valued features is an important problem during decision tree learning. This paper describes four multi-interval discreti...
PAKDD
1998
ACM
13 years 8 months ago
1998
ACM
Abstract. Approaches to data mining proposed so far are mainly symbolic decision trees and numerical feedforward neural networks methods. While decision trees give, in many cases, ...
AUSAI
1998
Springer
13 years 8 months ago
1998
Springer
Decision tree grafting adds nodes to inferred decision trees. Previous research has demonstrated that appropriate grafting techniques can improve predictive accuracy across a wide ...
IPPS
1998
IEEE
13 years 8 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...
KDD
1999
ACM
13 years 8 months ago
1999
ACM
Satisfying the basic requirements of accuracy and understandability of a classifier, decision tree classifiers have become very popular. Instead of constructing the decision tree ...
ICTAI
1999
IEEE
13 years 8 months ago
1999
IEEE
This work deals with stability in incremental induction of decision trees. Stability problems arise when an induction algorithm must revise a decision tree very often and oscillat...
SIGMOD
1999
ACM
13 years 8 months ago
1999
ACM
Classification is an important data mining problem. Given a training database of records, each tagged with a class label, the goal of classification is to build a concise model ...
COLT
2003
Springer
13 years 9 months ago
2003
Springer
We consider three natural models of random logarithmic depth decision trees over Boolean variables. We give an efficient algorithm that for each of these models learns all but an ...
AUSAI
2003
Springer
13 years 9 months ago
2003
Springer
Abstract. As the information technology grows interests in the intrusion detection system (IDS), which detects unauthorized usage, misuse by a local user and modification of impor...