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AUSDM
2007
Springer
84views Data Mining» more  AUSDM 2007»
14 years 2 months ago
Detecting Anomalous Longitudinal Associations Through Higher Order Mining
The detection of unusual or anomalous data is an important function in automated data analysis or data mining. However, the diversity of anomaly detection algorithms shows that it...
Ping Liang, John F. Roddick
AUSDM
2007
Springer
100views Data Mining» more  AUSDM 2007»
14 years 2 months ago
An E-Market Framework to Determine the Strength of Business Relationships between Intelligent Agents
When an agent enters in an e-Market for the first time, it has no historical information that can be used to determine the strength of business relationship with participant agen...
Khandaker Shahidul Islam
AUSDM
2007
Springer
193views Data Mining» more  AUSDM 2007»
14 years 2 months ago
Are Zero-suppressed Binary Decision Diagrams Good for Mining Frequent Patterns in High Dimensional Datasets?
Mining frequent patterns such as frequent itemsets is a core operation in many important data mining tasks, such as in association rule mining. Mining frequent itemsets in high-di...
Elsa Loekito, James Bailey
AUSDM
2007
Springer
110views Data Mining» more  AUSDM 2007»
14 years 2 months ago
Useful Clustering Outcomes from Meaningful Time Series Clustering
Clustering time series data using the popular subsequence (STS) technique has been widely used in the data mining and wider communities. Recently the conclusion was made that it i...
Jason Chen
AUSDM
2007
Springer
64views Data Mining» more  AUSDM 2007»
14 years 2 months ago
Reflection on Development and Delivery of a Data Mining Unit
Educators developing data mining courses face a difficult task of designing curricula that are adaptable, have solid foundations, and are tailored to students from different acade...
Bozena Stewart
AUSDM
2007
Springer
93views Data Mining» more  AUSDM 2007»
14 years 2 months ago
Customer Analytics Projects: Addressing Existing Problems with a Process that Leads to Success
This article explicitly outlines an approach designed to allow optimal utilisation of Analytics in the industry setting. The paper focuses on the key stages of the Analytics proce...
Inna Kolyshkina, Simeon J. Simoff
AUSDM
2007
Springer
113views Data Mining» more  AUSDM 2007»
14 years 2 months ago
PCITMiner- Prefix-based Closed Induced Tree Miner for finding closed induced frequent subtrees
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...
Sangeetha Kutty, Richi Nayak, Yuefeng Li
AUSDM
2007
Springer
164views Data Mining» more  AUSDM 2007»
14 years 2 months ago
SemGrAM - Integrating Semantic Graphs into Association Rule Mining
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. ...
John F. Roddick, Peter Fule
AUSDM
2007
Springer
100views Data Mining» more  AUSDM 2007»
14 years 2 months ago
Predictive Model of Insolvency Risk for Australian Corporations
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...
Rohan A. Baxter, Mark Gawler, Russell Ang
AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
14 years 2 months ago
News Aware Volatility Forecasting: Is the Content of News Important?
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...
Calum Robertson, Shlomo Geva, Rodney Wolff