IDA
2005
Springer
13 years 9 months ago
2005
Springer
With the invention of biotechnological high throughput methods like DNA microarrays and the analysis of the resulting huge amounts of biological data, clustering algorithms gain ne...
IDA
2005
Springer
13 years 9 months ago
2005
Springer
IDA
2005
Springer
13 years 9 months ago
2005
Springer
In this paper we introduce a simple ant based algorithm for solving a copper mine planning problem. In the last 10 years this realworld problem has been tackled using linear intege...
IDA
2005
Springer
13 years 9 months ago
2005
Springer
Clustering or bi-clustering techniques have been proved quite useful in many application domains. A weakness of these techniques remains the poor support for grouping characterizat...
IDA
2005
Springer
13 years 9 months ago
2005
Springer
Abstract. We present a prototype system, code-named Pulse, for mining topics and sentiment orientation jointly from free text customer feedback. We describe the application of the ...
IDA
2005
Springer
13 years 9 months ago
2005
Springer
DNA arrays yield a global view of gene expression and can be used to build genetic networks models, in order to study relations between genes. Literature proposes Bayesian network ...
IDA
2005
Springer
13 years 9 months ago
2005
Springer
Abstract. In this paper, a method to analyze GSM network performance on the basis of massive data records and application domain knowledge is presented. The available measurements ...
IDA
2005
Springer
13 years 9 months ago
2005
Springer
Rule systems have failed to attract much interest in large data analysis problems because they tend to be too simplistic to be useful or consist of too many rules for human interpr...
IDA
2005
Springer
13 years 9 months ago
2005
Springer
We consider the problem of learning a ranking function, that is a mapping from instances to rankings over a finite number of labels. Our learning method, referred to as ranking by...
IDA
2005
Springer
13 years 9 months ago
2005
Springer
Inducing a classification function from a set of examples in the form of labeled instances is a standard problem in supervised machine learning. In this paper, we are concerned w...