AUSDM
2006
Springer
14 years 11 days ago
2006
Springer
In response to the rapid development of DNA Microarray technology, many classification methods have been used for Microarray classification. SVMs, decision trees, Bagging, Boostin...
AUSDM
2006
Springer
14 years 11 days ago
2006
Springer
Sequence mining is often conducted over static and temporal datasets as well as over collections of events (episodes). More recently, there has also been a focus on the mining of ...
AUSDM
2006
Springer
14 years 11 days ago
2006
Springer
Data mining is playing an important role in decision making for business activities and governmental administration. Since many organizations or their divisions do not possess the...
AUSDM
2006
Springer
14 years 11 days ago
2006
Springer
The support vector machine (SVM) is a wellestablished and accurate supervised learning method for the classification of data in various application fields. The statistical learnin...
AUSDM
2006
Springer
14 years 11 days ago
2006
Springer
This paper deals with studies the problem of identification and extraction of flat and nested data records from a given web page. With the explosive growth of information sources ...
AUSDM
2006
Springer
14 years 11 days ago
2006
Springer
The importance of predicting Web users' behaviour and their next movement has been recognised and discussed by many researchers lately. Association rules and Markov models ar...
AUSDM
2006
Springer
14 years 11 days ago
2006
Springer
If the dataset available to machine learning results from cluster sampling (e.g. patients from a sample of hospital wards), the usual cross-validation error rate estimate can lead...
AUSDM
2006
Springer
14 years 11 days ago
2006
Springer
The concept of older adults contributing to society in a meaningful way has been termed `active ageing'. We present applications of data mining techniques on the active agein...
AUSDM
2006
Springer
14 years 11 days ago
2006
Springer
The efficient market hypothesis states that an efficient market immediately incorporates all available information into the price of the traded entity. It is well established that...
AUSDM
2006
Springer
14 years 11 days ago
2006
Springer
This paper explores the size and value effect in influencing performance of individual companies using backpropagation neural networks. According to existing theory, companies wit...