INFOSCALE
2006
ACM
14 years 2 months ago
2006
ACM
Huge amounts of data are available in large-scale networks of autonomous data sources dispersed over a wide area. Data mining is an essential technology for obtaining hidden and v...
ADMA
2006
Springer
14 years 2 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 2 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 2 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 2 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 2 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...
ADMA
2006
Springer
14 years 2 months ago
2006
Springer
Mining user profiles is a crucial task for Web usage mining, and can be accomplished by mining frequent patterns. However, in the Web usage domain, sessions tend to be very sparse,...
ADMA
2006
Springer
14 years 2 months ago
2006
Springer
The automatic annotation of images presents a particularly complex problem for machine learning researchers. In this work we experiment with semantic models and multi-class learnin...
ADMA
2006
Springer
14 years 2 months ago
2006
Springer
ADMA
2006
Springer
14 years 2 months ago
2006
Springer
The problem of finding anomaly has received much attention recently. However, most of the anomaly detection algorithms depend on an explicit definition of anomaly, which may be i...