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AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
14 years 3 months ago
Preference Networks: Probabilistic Models for Recommendation Systems
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...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
14 years 10 months ago
Mining social networks for personalized email prioritization
Email is one of the most prevalent communication tools today, and solving the email overload problem is pressingly urgent. A good way to alleviate email overload is to automatical...
Shinjae Yoo, Yiming Yang, Frank Lin, Il-Chul Moon
BMCBI
2008
178views more  BMCBI 2008»
13 years 9 months ago
Identification of coherent patterns in gene expression data using an efficient biclustering algorithm and parallel coordinate vi
Background: The DNA microarray technology allows the measurement of expression levels of thousands of genes under tens/hundreds of different conditions. In microarray data, genes ...
Kin-On Cheng, Ngai-Fong Law, Wan-Chi Siu, Alan Wee...
KDD
2009
ACM
196views Data Mining» more  KDD 2009»
14 years 4 months ago
WhereNext: a location predictor on trajectory pattern mining
The pervasiveness of mobile devices and location based services is leading to an increasing volume of mobility data. This side effect provides the opportunity for innovative meth...
Anna Monreale, Fabio Pinelli, Roberto Trasarti, Fo...
XPU
2009
Springer
14 years 3 months ago
Communicating Domain Knowledge in Executable Acceptance Test Driven Development
We present results of a case study looking at how domain knowledge is communicated to developers using executable acceptance test driven development at a large software development...
Shelly Park, Frank Maurer