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KDD
2004
ACM
134views Data Mining» more  KDD 2004»
15 years 11 months ago
Exploiting a support-based upper bound of Pearson's correlation coefficient for efficiently identifying strongly correlated pair
Given a user-specified minimum correlation threshold and a market basket database with N items and T transactions, an all-strong-pairs correlation query finds all item pairs with...
Hui Xiong, Shashi Shekhar, Pang-Ning Tan, Vipin Ku...
SAC
2006
ACM
15 years 5 months ago
The impact of sample reduction on PCA-based feature extraction for supervised learning
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
IADIS
2004
15 years 19 days ago
Moginma: an autonomous grid node monitoring agent
The accelerated development in grid computing has positioned it as a promising next generation computing platform. It enables the creation of virtual organizations (VO) for sharin...
Arshad Ali, Fawad Nazir, Hamid Abbas Burki, Tallat...
KDD
2007
ACM
276views Data Mining» more  KDD 2007»
15 years 11 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
SIGMOD
2010
ACM
236views Database» more  SIGMOD 2010»
15 years 4 months ago
Differentially private aggregation of distributed time-series with transformation and encryption
We propose PASTE, the first differentially private aggregation algorithms for distributed time-series data that offer good practical utility without any trusted server. PASTE add...
Vibhor Rastogi, Suman Nath