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» Mining autograding data in computer science education
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80
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SDM
2009
SIAM
215views Data Mining» more  SDM 2009»
15 years 6 months ago
Hybrid Clustering of Text Mining and Bibliometrics Applied to Journal Sets.
To obtain correlated and complementary information contained in text mining and bibliometrics, hybrid clustering to incorporate textual content and citation information has become...
Bart De Moor, Frizo A. L. Janssens, Shi Yu, Wolfga...
73
Voted
CSE
2009
IEEE
15 years 4 months ago
Mining for Gold Farmers: Automatic Detection of Deviant Players in MMOGs
Abstract—Gold farming refers to the illicit practice of gathering and selling virtual goods in online games for real money. Although around one million gold farmers engage in gol...
Muhammad Aurangzeb Ahmad, Brian Keegan, Jaideep Sr...
90
Voted
KDD
2009
ACM
296views Data Mining» more  KDD 2009»
15 years 10 months ago
Anonymizing healthcare data: a case study on the blood transfusion service
: Gaining access to high-quality health data is a vital requirement to informed decision making for medical practitioners and pharmaceutical researchers. Driven by mutual benefits ...
Noman Mohammed, Benjamin C. M. Fung, Patrick C. K....
SDM
2009
SIAM
160views Data Mining» more  SDM 2009»
15 years 6 months ago
Discovering Substantial Distinctions among Incremental Bi-Clusters.
A fundamental task of data analysis is comprehending what distinguishes clusters found within the data. We present the problem of mining distinguishing sets which seeks to find s...
Faris Alqadah, Raj Bhatnagar
AUSDM
2007
Springer
193views Data Mining» more  AUSDM 2007»
15 years 3 months ago
Are Zero-suppressed Binary Decision Diagrams Good for Mining Frequent Patterns in High Dimensional Datasets?
Mining frequent patterns such as frequent itemsets is a core operation in many important data mining tasks, such as in association rule mining. Mining frequent itemsets in high-di...
Elsa Loekito, James Bailey