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EDM
2008
97views Data Mining» more  EDM 2008»
13 years 10 months ago
Using Item-type Performance Covariance to Improve the Skill Model of an Existing Tutor
Using data from an existing pre-algebra computer-based tutor, we analyzed the covariance of item-types with the goal of describing a more effective way to assign skill labels to it...
Philip I. Pavlik, Hao Cen, Lili Wu, Kenneth R. Koe...
BIBM
2007
IEEE
137views Bioinformatics» more  BIBM 2007»
14 years 3 months ago
A Multi-metric Similarity Based Analysis of Microarray Data
Clustering has been shown to be effective in analyzing functional relationships of genes. However, no single clustering method with single distance metric is capable of capturing ...
Fatih Altiparmak, Selnur Erdal, Ozgur Ozturk, Haka...
AUSDM
2007
Springer
140views Data Mining» more  AUSDM 2007»
14 years 3 months ago
The application of data mining techniques to characterize agricultural soil profiles
The advances in computing and information storage have provided vast amounts of data. The challenge has been to extract knowledge from this raw data; this has lead to new methods ...
Leisa Armstrong, Dean Diepeveen, Rowan Maddern
NIPS
2003
13 years 10 months ago
Learning the k in k-means
When clustering a dataset, the right number k of clusters to use is often not obvious, and choosing k automatically is a hard algorithmic problem. In this paper we present an impr...
Greg Hamerly, Charles Elkan
ICDCS
2008
IEEE
14 years 3 months ago
MC2: Multiple Clients on a Multilevel Cache
In today’s networked storage environment, it is common to have a hierarchy of caches where the lower levels of the hierarchy are accessed by multiple clients. This sharing can h...
Gala Yadgar, Michael Factor, Kai Li, Assaf Schuste...