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KDD
2006
ACM
129views Data Mining» more  KDD 2006»
16 years 5 months ago
Suppressing model overfitting in mining concept-drifting data streams
Mining data streams of changing class distributions is important for real-time business decision support. The stream classifier must evolve to reflect the current class distributi...
Haixun Wang, Jian Yin, Jian Pei, Philip S. Yu, Jef...
DMIN
2006
131views Data Mining» more  DMIN 2006»
15 years 6 months ago
Use of Data Mining to Determine Cheating in Online Student Assessment
are proposing a model to help organizations detect and prevent cheats in online assessments. First we analyze different student personalities, stress situations generated by onlin...
Alberto Ochoa, Amol Wagholikar
PODS
2003
ACM
156views Database» more  PODS 2003»
16 years 4 months ago
Limiting privacy breaches in privacy preserving data mining
There has been increasing interest in the problem of building accurate data mining models over aggregate data, while protecting privacy at the level of individual records. One app...
Alexandre V. Evfimievski, Johannes Gehrke, Ramakri...
KDD
2004
ACM
173views Data Mining» more  KDD 2004»
16 years 5 months ago
A microeconomic data mining problem: customer-oriented catalog segmentation
The microeconomic framework for data mining [7] assumes that an enterprise chooses a decision maximizing the overall utility over all customers where the contribution of a custome...
Martin Ester, Rong Ge, Wen Jin, Zengjian Hu
CHI
2009
ACM
15 years 8 months ago
Yours, mine and (not) ours: social influences on group information repositories
Group information repositories are systems for storing and organizing files in a central location all group members can access. The functionality and capabilities of these systems...
Emilee Rader