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» Using Temporal Data for Making Recommendations
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151
Voted
KDD
2012
ACM
194views Data Mining» more  KDD 2012»
13 years 5 months ago
A sparsity-inducing formulation for evolutionary co-clustering
Traditional co-clustering methods identify block structures from static data matrices. However, the data matrices in many applications are dynamic; that is, they evolve smoothly o...
Shuiwang Ji, Wenlu Zhang, Jun Liu
ICDM
2003
IEEE
136views Data Mining» more  ICDM 2003»
15 years 8 months ago
Statistical Relational Learning for Document Mining
A major obstacle to fully integrated deployment of many data mining algorithms is the assumption that data sits in a single table, even though most real-world databases have compl...
Alexandrin Popescul, Lyle H. Ungar, Steve Lawrence...
129
Voted
ECCV
2010
Springer
15 years 5 months ago
Flexible Voxels for Motion-Aware Videography
Abstract. The goal of this work is to build video cameras whose spatial and temporal resolutions can be changed post-capture depending on the scene. Building such cameras is diffic...
130
Voted
TVCG
2002
156views more  TVCG 2002»
15 years 2 months ago
A Hardware-Assisted Scalable Solution for Interactive Volume Rendering of Time-Varying Data
We present a scalable volume rendering technique that exploits lossy compression and low-cost commodity hardware to permit highly interactive exploration of time-varying scalar vol...
Eric B. Lum, Kwan-Liu Ma, John Clyne
SIGMOD
2008
ACM
158views Database» more  SIGMOD 2008»
16 years 2 months ago
Sampling cube: a framework for statistical olap over sampling data
Sampling is a popular method of data collection when it is impossible or too costly to reach the entire population. For example, television show ratings in the United States are g...
Xiaolei Li, Jiawei Han, Zhijun Yin, Jae-Gil Lee, Y...