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» Benchmarking Data Mining Algorithms
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202
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WSDM
2012
ACM
352views Data Mining» more  WSDM 2012»
14 years 5 days ago
Multi-relational matrix factorization using bayesian personalized ranking for social network data
A key element of the social networks on the internet such as Facebook and Flickr is that they encourage users to create connections between themselves, other users and objects. On...
Artus Krohn-Grimberghe, Lucas Drumond, Christoph F...
135
Voted
DSN
2009
IEEE
15 years 11 months ago
Comparing anomaly-detection algorithms for keystroke dynamics
Keystroke dynamics—the analysis of typing rhythms to discriminate among users—has been proposed for detecting impostors (i.e., both insiders and external attackers). Since man...
Kevin S. Killourhy, Roy A. Maxion
138
Voted
GECCO
2003
Springer
171views Optimization» more  GECCO 2003»
15 years 9 months ago
Genetic Algorithm Optimized Feature Transformation - A Comparison with Different Classifiers
When using a Genetic Algorithm (GA) to optimize the feature space of pattern classification problems, the performance improvement is not only determined by the data set used, but a...
Zhijian Huang, Min Pei, Erik D. Goodman, Yong Huan...
KDD
2006
ACM
112views Data Mining» more  KDD 2006»
16 years 5 months ago
K-means clustering versus validation measures: a data distribution perspective
K-means is a widely used partitional clustering method. While there are considerable research efforts to characterize the key features of K-means clustering, further investigation...
Hui Xiong, Junjie Wu, Jian Chen
ICDM
2008
IEEE
182views Data Mining» more  ICDM 2008»
15 years 11 months ago
Multiple-Instance Regression with Structured Data
We present a multiple-instance regression algorithm that models internal bag structure to identify the items most relevant to the bag labels. Multiple-instance regression (MIR) op...
Kiri L. Wagstaff, Terran Lane, Alex Roper