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» Mining Multi-Dimensional Quantitative Associations
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CIKM
2010
Springer
13 years 5 months ago
Mining topic-level influence in heterogeneous networks
Influence is a complex and subtle force that governs the dynamics of social networks as well as the behaviors of involved users. Understanding influence can benefit various applic...
Lu Liu, Jie Tang, Jiawei Han, Meng Jiang, Shiqiang...
BMCBI
2006
169views more  BMCBI 2006»
13 years 7 months ago
Finding biological process modifications in cancer tissues by mining gene expression correlations
Background: Through the use of DNA microarrays it is now possible to obtain quantitative measurements of the expression of thousands of genes from a biological sample. This techno...
Giacomo Gamberoni, Sergio Storari, Stefano Volinia
CSB
2005
IEEE
145views Bioinformatics» more  CSB 2005»
14 years 1 months ago
Classification Methods for HIV-1 Medicated Neuronal Damage
HIV-1-associated dementia (HAD) is the most devastating disease happened in the central nervous system of AIDS patients. Neuronal damage, the early indicator of HAD, under differe...
Mengjun Wang, Jialin Zheng, Zhengxin Chen, Yong Sh...
SDM
2009
SIAM
123views Data Mining» more  SDM 2009»
14 years 4 months ago
Measuring Discrimination in Socially-Sensitive Decision Records.
Discrimination in social sense (e.g., against minorities and disadvantaged groups) is the subject of many laws worldwide, and it has been extensively studied in the social and eco...
Dino Pedreschi, Franco Turini, Salvatore Ruggieri
VL
2006
IEEE
14 years 1 months ago
Gender Differences in End-User Debugging, Revisited: What the Miners Found
We have been working to uncover gender differences in the ways males and females problem solve in end-user programming situations, and have discovered differences in males’ vers...
Valentina Grigoreanu, Laura Beckwith, Xiaoli Z. Fe...