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KDD
2010
ACM
242views Data Mining» more  KDD 2010»
14 years 9 days ago
A scalable two-stage approach for a class of dimensionality reduction techniques
Dimensionality reduction plays an important role in many data mining applications involving high-dimensional data. Many existing dimensionality reduction techniques can be formula...
Liang Sun, Betul Ceran, Jieping Ye
SDM
2008
SIAM
139views Data Mining» more  SDM 2008»
13 years 11 months ago
Semi-Supervised Learning Based on Semiparametric Regularization
Semi-supervised learning plays an important role in the recent literature on machine learning and data mining and the developed semisupervised learning techniques have led to many...
Zhen Guo, Zhongfei (Mark) Zhang, Eric P. Xing, Chr...
SDM
2012
SIAM
304views Data Mining» more  SDM 2012»
12 years 21 days ago
Robust Reputation-Based Ranking on Bipartite Rating Networks
With the growth of the Internet and E-commerce, bipartite rating networks are ubiquitous. In such bipartite rating networks, there exist two types of entities: the users and the o...
Rong-Hua Li, Jeffrey Xu Yu, Xin Huang, Hong Cheng
ICDM
2008
IEEE
172views Data Mining» more  ICDM 2008»
14 years 4 months ago
Latent Dirichlet Allocation and Singular Value Decomposition Based Multi-document Summarization
Multi-Document Summarization deals with computing a summary for a set of related articles such that they give the user a general view about the events. One of the objectives is th...
Rachit Arora, Balaraman Ravindran
KDD
2008
ACM
217views Data Mining» more  KDD 2008»
14 years 10 months ago
Stream prediction using a generative model based on frequent episodes in event sequences
This paper presents a new algorithm for sequence prediction over long categorical event streams. The input to the algorithm is a set of target event types whose occurrences we wis...
Srivatsan Laxman, Vikram Tankasali, Ryen W. White