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» Using Data Mining in MURA Graphic Problems
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PVLDB
2008
122views more  PVLDB 2008»
14 years 11 months ago
Exploiting shared correlations in probabilistic databases
There has been a recent surge in work in probabilistic databases, propelled in large part by the huge increase in noisy data sources -from sensor data, experimental data, data fro...
Prithviraj Sen, Amol Deshpande, Lise Getoor
WWW
2010
ACM
15 years 6 months ago
Large-scale bot detection for search engines
In this paper, we propose a semi-supervised learning approach for classifying program (bot) generated web search traffic from that of genuine human users. The work is motivated by...
Hongwen Kang, Kuansan Wang, David Soukal, Fritz Be...
KDD
2009
ACM
167views Data Mining» more  KDD 2009»
16 years 10 days ago
Seven pitfalls to avoid when running controlled experiments on the web
Controlled experiments, also called randomized experiments and A/B tests, have had a profound influence on multiple fields, including medicine, agriculture, manufacturing, and adv...
Thomas Crook, Brian Frasca, Ron Kohavi, Roger Long...
WWW
2008
ACM
16 years 14 days ago
Yes, there is a correlation: - from social networks to personal behavior on the web
Characterizing the relationship that exists between a person's social group and his/her personal behavior has been a long standing goal of social network analysts. In this pa...
Parag Singla, Matthew Richardson
KDD
2009
ACM
173views Data Mining» more  KDD 2009»
16 years 10 days ago
Constant-factor approximation algorithms for identifying dynamic communities
We propose two approximation algorithms for identifying communities in dynamic social networks. Communities are intuitively characterized as "unusually densely knit" sub...
Chayant Tantipathananandh, Tanya Y. Berger-Wolf