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129
Voted
CPAIOR
2004
Springer
15 years 7 months ago
Building Models through Formal Specification
Abstract. Over the past years, a number of increasingly expressive languages for modelling constraint and optimisation problems have evolved. In developing a strategy to ease the c...
Gerrit Renker, Hatem Ahriz
112
Voted
AUSDM
2006
Springer
112views Data Mining» more  AUSDM 2006»
15 years 7 months ago
Accuracy Estimation With Clustered Dataset
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...
Ricco Rakotomalala, Jean-Hugues Chauchat, Fran&cce...
110
Voted
AUSDM
2006
Springer
136views Data Mining» more  AUSDM 2006»
15 years 7 months ago
Data Mining in Conceptualising Active Ageing
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...
Richi Nayak, Laurie Buys, Jan Lovie-Kitchin
143
Voted
AUSDM
2006
Springer
158views Data Mining» more  AUSDM 2006»
15 years 7 months ago
What Types of Events Provide the Strongest Evidence that the Stock Market is Affected by Company Specific News?
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...
Calum Robertson, Shlomo Geva, Rodney Wolff
AUSDM
2006
Springer
125views Data Mining» more  AUSDM 2006»
15 years 7 months ago
Investigating the Size and Value Effect in Determining Performance of Australian Listed Companies: A Neural Network Approach
This paper explores the size and value effect in influencing performance of individual companies using backpropagation neural networks. According to existing theory, companies wit...
Justin Luu, Paul J. Kennedy