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» Theoretical Frameworks for Data Mining
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IJCNN
2006
IEEE
14 years 3 months ago
Pattern Selection for Support Vector Regression based on Sparseness and Variability
— Support Vector Machine has been well received in machine learning community with its theoretical as well as practical value. However, since its training time complexity is cubi...
Jiyoung Sun, Sungzoon Cho
SDM
2004
SIAM
242views Data Mining» more  SDM 2004»
13 years 10 months ago
Privacy-Preserving Multivariate Statistical Analysis: Linear Regression and Classification
Multivariate statistical analysis is an important data analysis technique that has found applications in various areas. In this paper, we study some multivariate statistical analy...
Wenliang Du, Yunghsiang S. Han, Shigang Chen
SDM
2009
SIAM
196views Data Mining» more  SDM 2009»
14 years 6 months ago
MultiVis: Content-Based Social Network Exploration through Multi-way Visual Analysis.
With the explosion of social media, scalability becomes a key challenge. There are two main aspects of the problems that arise: 1) data volume: how to manage and analyze huge data...
Ching-Yung Lin, Jimeng Sun, Nan Cao, Shixia Liu, S...
ICAI
2004
13 years 10 months ago
A Comparison of Resampling Methods for Clustering Ensembles
-- Combination of multiple clusterings is an important task in the area of unsupervised learning. Inspired by the success of supervised bagging algorithms, we propose a resampling ...
Behrouz Minaei-Bidgoli, Alexander P. Topchy, Willi...
ECIS
2001
13 years 10 months ago
Knowledge integration processes within the context of enterprise resources planning (ERP) systems implementation
The empirical findings from an organization, which adopted and implemented ERP, are presented. The focus of this empirical research was to understand the nature and processes of k...
Jimmy C. Huang, Sue Newell, Shan Ling Pan, Robert ...