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» Using Data Mining in MURA Graphic Problems
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KDD
2012
ACM
238views Data Mining» more  KDD 2012»
13 years 6 months ago
Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data
Incomplete data present serious problems when integrating largescale brain imaging data sets from different imaging modalities. In the Alzheimer’s Disease Neuroimaging Initiativ...
Lei Yuan, Yalin Wang, Paul M. Thompson, Vaibhav A....
123
Voted
CASDMKM
2004
Springer
147views Data Mining» more  CASDMKM 2004»
15 years 9 months ago
Data Set Balancing
This paper conducts experiments with three skewed data sets, seeking to demonstrate problems when skewed data is used, and identifying counter problems when data is balanced. The b...
David L. Olson
151
Voted
CSB
2005
IEEE
210views Bioinformatics» more  CSB 2005»
15 years 9 months ago
Problem Solving Environment Approach to Integrating Diverse Biological Data Sources
Scientists face an ever-increasing challenge in investigating biological systems with high throughput experimental methods such as mass spectrometry and gene arrays because of the...
Eric G. Stephan, Kyle R. Klicker, Mudita Singhal, ...
DCC
2002
IEEE
16 years 3 months ago
Bit Allocation in Sub-linear Time and the Multiple-Choice Knapsack Problem
We show that the problem of optimal bit allocation among a set of independent discrete quantizers given a budget constraint is equivalent to the multiple choice knapsack problem (...
Alexander E. Mohr
GFKL
2007
Springer
196views Data Mining» more  GFKL 2007»
15 years 9 months ago
Comparison of Recommender System Algorithms Focusing on the New-item and User-bias Problem
Recommender systems are used by an increasing number of e-commerce websites to help the customers to find suitable products from a large database. One of the most popular techniqu...
Stefan Hauger, Karen H. L. Tso, Lars Schmidt-Thiem...