KDD
2010
ACM
13 years 10 months ago
2010
ACM
In plenty of scenarios, data can be represented as vectors mathematically abstracted as points in a Euclidean space. Because a great number of machine learning and data mining app...
KDD
2010
ACM
13 years 10 months ago
2010
ACM
Active learning (AL) is an increasingly popular strategy for mitigating the amount of labeled data required to train classifiers, thereby reducing annotator effort. We describe ...
INCDM
2010
Springer
13 years 10 months ago
2010
Springer
INCDM
2010
Springer
13 years 10 months ago
2010
Springer
Defining the boundaries of a web-site, for (say) archiving or information retrieval purposes, is an important but complicated task. In this paper a web-page clustering approach to...
INCDM
2010
Springer
13 years 10 months ago
2010
Springer
We present rminer, our open source library for the R tool that facilitates the use of data mining (DM) algorithms, such as neural Networks (NNs) and support vector machines (SVMs),...
INCDM
2010
Springer
13 years 10 months ago
2010
Springer
AUSDM
2008
Springer
13 years 10 months ago
2008
Springer
Malware detection is an important problem today. New malware appears every day and in order to be able to detect it, it is important to recognize families of existing malware. Dat...
AUSDM
2008
Springer
13 years 10 months ago
2008
Springer
The popularity of computer networks broadens the scope for network attackers and increases the damage these attacks can cause. In this context, Intrusion Detection Systems (IDS) a...
AUSDM
2008
Springer
13 years 10 months ago
2008
Springer
With the development of microarray
AUSDM
2008
Springer
13 years 10 months ago
2008
Springer
Supervised text categorization is a machine learning task where a predefined category label is automatically assigned to a previously unlabelled document based upon characteristic...