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PAKDD
2010
ACM
275views Data Mining» more  PAKDD 2010»
14 years 18 days ago
Anonymizing Transaction Data by Integrating Suppression and Generalization
Abstract. Privacy protection in publishing transaction data is an important problem. A key feature of transaction data is the extreme sparsity, which renders any single technique i...
Junqiang Liu, Ke Wang
INCDM
2010
Springer
146views Data Mining» more  INCDM 2010»
14 years 18 days ago
Learning from Humanoid Cartoon Designs
Abstract. Character design is a key ingredient to the success of any comicbook, graphic novel, or animated feature. Artists typically use shape, size and proportion as the first de...
Md. Tanvirul Islam, Kaiser Md. Nahiduzzaman, Why Y...
INCDM
2010
Springer
193views Data Mining» more  INCDM 2010»
14 years 18 days ago
Trend Mining in Social Networks: A Study Using a Large Cattle Movement Database
This paper reports on a mechanism to identify temporal spatial trends in social networks. The trends of interest are defined in terms of the occurrence frequency of time stamped p...
Puteri N. E. Nohuddin, Rob Christley, Frans Coenen...
INCDM
2010
Springer
251views Data Mining» more  INCDM 2010»
14 years 18 days ago
Multi-Agent Based Clustering: Towards Generic Multi-Agent Data Mining
Abstract. A framework for Multi Agent Data Mining (MADM) is described. The framework comprises a collection of agents cooperating to address given data mining tasks. The fundamenta...
Santhana Chaimontree, Katie Atkinson, Frans Coenen
AUSDM
2007
Springer
104views Data Mining» more  AUSDM 2007»
14 years 19 days ago
Effectiveness of Using Quantified Intermarket Influence for Predicting Trading Signals of Stock Markets
This paper investigates the use of influence from foreign stock markets (intermarket influence) to predict the trading signals, buy, hold and sell, of the of a given stock market....
Chandima Tilakaratne, Musa A. Mammadov, Sidney A. ...
AUSDM
2007
Springer
101views Data Mining» more  AUSDM 2007»
14 years 19 days ago
Exploratory Multilevel Hot Spot Analysis: Australian Taxation Office Case Study
Population based real-life datasets often contain smaller clusters of unusual sub-populations. While these clusters, called `hot spots', are small and sparse, they are usuall...
Denny, Graham J. Williams, Peter Christen
AUSDM
2007
Springer
102views Data Mining» more  AUSDM 2007»
14 years 19 days ago
A Two-Step Classification Approach to Unsupervised Record Linkage
Linking or matching databases is becoming increasingly important in many data mining projects, as linked data can contain information that is not available otherwise, or that woul...
Peter Christen
AUSDM
2007
Springer
165views Data Mining» more  AUSDM 2007»
14 years 19 days ago
A New Efficient Privacy-Preserving Scalar Product Protocol
Recently, privacy issues have become important in data analysis, especially when data is horizontally partitioned over several parties. In data mining, the data is typically repre...
Artak Amirbekyan, Vladimir Estivill-Castro
AUSDM
2007
Springer
94views Data Mining» more  AUSDM 2007»
14 years 19 days ago
Classification for accuracy and insight: A weighted sum approach
This research presents a classifier that aims to provide insight into a dataset in addition to achieving classification accuracies comparable to other algorithms. The classifier c...
Anthony Quinn, Andrew Stranieri, John Yearwood
ASSETS
2007
ACM
14 years 19 days ago
Data visualisation and data mining technology for supporting care for older people
: The overall purpose of the research discussed here is the enhancement of home-based care by revealing individual patterns in the life of a person, through modelling of the "...
Nubia M. Gil, Nick A. Hine, John L. Arnott, Julien...