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» Mining autograding data in computer science education
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BALT
2006
15 years 1 months ago
Introducing Softness into Inductive Queries on String Databases
In many application domains (e.g., WWW mining, molecular biology), large string datasets are available and yet under-exploited. The inductive database framework assumes that both s...
Ieva Mitasiunaite, Jean-François Boulicaut
SDM
2009
SIAM
217views Data Mining» more  SDM 2009»
15 years 6 months ago
A Framework for Exploring Categorical Data.
In this paper, we present a framework for categorical data analysis which allows such data sets to be explored using a rich set of techniques that are only applicable to continuou...
Shyam Boriah, Varun Chandola, Vipin Kumar
CSE
2009
IEEE
15 years 4 months ago
Probabilistic Generative Models of the Social Annotation Process
—With the growth in the past few years of social tagging services like Delicious and CiteULike, there is growing interest in modeling and mining these social systems for deriving...
Said Kashoob, James Caverlee, Elham Khabiri
SDM
2009
SIAM
225views Data Mining» more  SDM 2009»
15 years 6 months ago
Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
Most datasets in real applications come in from multiple sources. As a result, we often have attributes information about data objects and various pairwise relations (similarity) ...
Fei Wang, Chris H. Q. Ding, Tao Li
SDM
2009
SIAM
204views Data Mining» more  SDM 2009»
15 years 6 months ago
Application of Bayesian Partition Models in Warranty Data Analysis.
Automotive companies are forced to continuously extend and improve their product line-up. However, increasing diversity, higher design complexity, and shorter development cycles c...
Axel Blumenstock, Christoph Schlieder, Markus M&uu...