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KDD
2007
ACM
276views Data Mining» more  KDD 2007»
14 years 7 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
KDD
2002
ACM
183views Data Mining» more  KDD 2002»
14 years 7 months ago
E-CAST: A Data Mining Algorithm for Gene Expression Data
Data clustering methods have been proven to be a successful data mining technique in the analysis of gene expression data. The Cluster affinity search technique (CAST) developed b...
Abdelghani Bellaachia, David Portnoy, Yidong Chen,...
CHI
2003
ACM
14 years 7 months ago
Phrase sets for evaluating text entry techniques
In evaluations of text entry methods, participants enter phrases of text using a technique of interest while performance data are collected. This paper describes and publishes (vi...
I. Scott MacKenzie, R. William Soukoreff
OSDI
2006
ACM
14 years 7 months ago
EXPLODE: A Lightweight, General System for Finding Serious Storage System Errors
Storage systems such as file systems, databases, and RAID systems have a simple, basic contract: you give them data, they do not lose or corrupt it. Often they store the only copy...
Junfeng Yang, Can Sar, Dawson R. Engler
ICALP
2009
Springer
14 years 7 months ago
Approximation Algorithms via Structural Results for Apex-Minor-Free Graphs
We develop new structural results for apex-minor-free graphs and show their power by developing two new approximation algorithms. The first is an additive approximation for colorin...
Erik D. Demaine, MohammadTaghi Hajiaghayi, Ken-ich...