ADMA
2006
Springer
14 years 2 months ago
2006
Springer
This paper presents a study on the combination of different classifiers for toxicity prediction. Two combination operators for the Multiple-Classifier System definition are also pr...
ADMA
2006
Springer
14 years 4 months ago
2006
Springer
This work describes the use of a recently proposed technique
ADMA
2006
Springer
14 years 4 months ago
2006
Springer
Abstract. The issue of maintaining privacy in frequent itemset mining has attracted considerable attentions. In most of those works, only distorted data are available which may bri...
ADMA
2006
Springer
14 years 4 months ago
2006
Springer
Abstract. In order to exploit the dependencies in relational data to improve predictions, relational classification models often need to make simultaneous statistical judgments abo...
ADMA
2006
Springer
14 years 4 months ago
2006
Springer
Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
ADMA
2006
Springer
14 years 6 months ago
2006
Springer
Feature selection is an important data preprocessing step in data mining and pattern recognition. Many algorithms have been proposed in the past for simple patterns that can be cha...
ADMA
2006
Springer
14 years 6 months ago
2006
Springer
Abstract. The web with its rapid expansion has become an excellent resource for gathering information and people’s opinion. A company owner wants to know who is the competitor, a...
ADMA
2006
Springer
14 years 6 months ago
2006
Springer
We propose a new algorithm called SCD for learning the structure of a Bayesian network. The algorithm is a kind of constraintbased algorithm. By taking advantage of variable orderi...
ADMA
2006
Springer
14 years 6 months ago
2006
Springer
We hypothesize that the variance in volume of high-velocity queries over time can be explained by observing that these queries are formulated in response to events in the world tha...
ADMA
2006
Springer
14 years 6 months ago
2006
Springer
This paper proposes an effective scoring scheme for feature selection in Text Mining, using characteristics of Small-World Phenomenon on the semantic networks of documents. Our foc...