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AUSDM
2007
Springer
222views Data Mining» more  AUSDM 2007»
13 years 11 months ago
CURIO: A Fast Outlier and Outlier Cluster Detection Algorithm for Large Datasets
Aaron Ceglar, John F. Roddick, David M. W. Powers
AUSDM
2007
Springer
131views Data Mining» more  AUSDM 2007»
13 years 11 months ago
A Bottom-Up Projection Based Algorithm for Mining High Utility Itemsets
Mining High Utility Itemsets from a transaction database is to find itemsests that have utility above a user-specified threshold. This problem is an extension of Frequent Itemset ...
Alva Erwin, Raj P. Gopalan, N. R. Achuthan
AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
13 years 11 months ago
A Discriminant Analysis for Undersampled Data
One of the inherent problems in pattern recognition is the undersampled data problem, also known as the curse of dimensionality reduction. In this paper a new algorithm called pai...
Matthew Robards, Junbin Gao, Philip Charlton
AUSDM
2007
Springer
161views Data Mining» more  AUSDM 2007»
13 years 11 months ago
A Case Study of Failure Mode Analysis with Text Mining Methods
The maintenance dataset provided by SunWater contains information about failed assets also known as components and their corresponding failure modes. Currently, extraction of this...
Lin Chen, Richi Nayak
AUSDM
2007
Springer
84views Data Mining» more  AUSDM 2007»
13 years 11 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»
13 years 11 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»
13 years 11 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»
13 years 11 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»
13 years 11 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»
13 years 11 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