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DMIN
2006
141views Data Mining» more  DMIN 2006»
13 years 8 months ago
Detecting Cheats In Online Student Assessments Using Data Mining
: We can find several online assessment applications, Windows oriented or Web based, licensed or gnu free software, proprietary or standardized. All of them executing basic questio...
Genadiy Burlak, Jaime Muñoz, Alberto Ochoa,...
DMIN
2006
132views Data Mining» more  DMIN 2006»
13 years 8 months ago
An Overview of Associative Classifiers
Abstract-- Associative classification is a new classification approach integrating association mining and classification. It becomes a significant tool for knowledge discovery and ...
Yanmin Sun, Andrew K. C. Wong, Yang Wang 0007
DMIN
2006
125views Data Mining» more  DMIN 2006»
13 years 8 months ago
Privacy-Preserving Bayesian Network Learning From Heterogeneous Distributed Data
In this paper, we propose a post randomization technique to learn a Bayesian network (BN) from distributed heterogeneous data, in a privacy sensitive fashion. In this case, two or ...
Jianjie Ma, Krishnamoorthy Sivakumar
DMIN
2006
114views Data Mining» more  DMIN 2006»
13 years 8 months ago
Towards Using Fewer Features for Text Classification
Abstract-- Text classification or categorization is a conventional classification problem applied to the text domain. In the cases when statistical classification methods are used,...
Yuan Yuan, Tianyang Gu
DMIN
2006
134views Data Mining» more  DMIN 2006»
13 years 8 months ago
Hyper-Rectangular and k-Nearest-Neighbor Models in Stochastic Discrimination
The stochastic discrimination (SD) theory considers learning as building models of uniform coverage over data distributions. Despite successful trials of the derived SD method in s...
Iryna Skrypnyk, Tin Kam Ho