AUSDM
2007
Springer
14 years 6 months ago
2007
Springer
Frequent subtree mining has attracted a great deal of interest among the researchers due to its application in a wide variety of domains. Some of the domains include bio informati...
AUSDM
2007
Springer
14 years 6 months ago
2007
Springer
To date, most association rule mining algorithms have assumed that the domains of items are either discrete or, in a limited number of cases, hierarchical, categorical or linear. ...
AUSDM
2007
Springer
14 years 6 months ago
2007
Springer
This paper describes the development of a predictive model for corporate insolvency risk in Australia. The model building methodology is empirical with out-ofsample future year te...
AUSDM
2007
Springer
14 years 6 months ago
2007
Springer
The efficient market hypothesis states that the market incorporates all available information to provide an accurate valuation of the asset at any given time. However, most models...
AUSDM
2007
Springer
14 years 6 months ago
2007
Springer
The advances in computing and information storage have provided vast amounts of data. The challenge has been to extract knowledge from this raw data; this has lead to new methods ...
AUSDM
2007
Springer
14 years 6 months ago
2007
Springer
Many existing techniques for term extraction are heuristically-motivated and criticised as ad-hoc. The definitions and assumptions critical to set the boundary for the effective...
AUSDM
2007
Springer
14 years 6 months ago
2007
Springer
Medical science has a long history characterised by incidents of extraordinary insights that have resulted in a paradigm shift in the methodologies and approaches used and have mo...
AUSDM
2007
Springer
14 years 6 months ago
2007
Springer
AUSDM
2007
Springer
14 years 6 months ago
2007
Springer
Data streams are usually generated in an online fashion characterized by huge volume, rapid unpredictable rates, and fast changing data characteristics. It has been hence recogniz...
AUSDM
2007
Springer
14 years 6 months ago
2007
Springer
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...