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» Data Mining: Machine Learning, Statistics, and Databases
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SDM
2007
SIAM
169views Data Mining» more  SDM 2007»
15 years 3 months ago
Rank Aggregation for Similar Items
The problem of combining the ranked preferences of many experts is an old and surprisingly deep problem that has gained renewed importance in many machine learning, data mining, a...
D. Sculley
ICDM
2006
IEEE
89views Data Mining» more  ICDM 2006»
15 years 7 months ago
On the Lower Bound of Local Optimums in K-Means Algorithm
The k-means algorithm is a popular clustering method used in many different fields of computer science, such as data mining, machine learning and information retrieval. However, ...
Zhenjie Zhang, Bing Tian Dai, Anthony K. H. Tung
VLDB
2007
ACM
115views Database» more  VLDB 2007»
15 years 7 months ago
The Boundary Between Privacy and Utility in Data Publishing
We consider the privacy problem in data publishing: given a database instance containing sensitive information “anonymize” it to obtain a view such that, on one hand attackers...
Vibhor Rastogi, Sungho Hong, Dan Suciu
ITRE
2005
IEEE
15 years 7 months ago
Structure learning of Bayesian networks using a semantic genetic algorithm-based approach
A Bayesian network model is a popular technique for data mining due to its intuitive interpretation. This paper presents a semantic genetic algorithm (SGA) to learn a complete qual...
Sachin Shetty, Min Song
KDD
2008
ACM
104views Data Mining» more  KDD 2008»
16 years 2 months ago
Learning methods for lung tumor markerless gating in image-guided radiotherapy
In an idealized gated radiotherapy treatment, radiation is delivered only when the tumor is at the right position. For gated lung cancer radiotherapy, it is difficult to generate ...
Ying Cui, Jennifer G. Dy, Gregory C. Sharp, Brian ...