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» Using Data Mining in MURA Graphic Problems
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SDM
2007
SIAM
137views Data Mining» more  SDM 2007»
15 years 7 months ago
Semi-supervised Feature Selection via Spectral Analysis
Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...
Zheng Zhao, Huan Liu
EGPGV
2004
Springer
175views Visualization» more  EGPGV 2004»
15 years 11 months ago
Interactive Parallel Visualization of Large Particle Datasets
This paper presents a new interactive parallel method for direct visualization of large particle datasets. Based on a parallel rendering cluster, a frame rate of 9 frames-per-seco...
Kevin Liang, Patricia Monger, Huge Couchman
INCDM
2007
Springer
69views Data Mining» more  INCDM 2007»
16 years 16 days ago
Simultaneous Co-clustering and Modeling of Market Data
For difficult prediction problems, practitioners often segment the data into relatively homogenous groups and then build a model for each group. This two-step procedure usually res...
Meghana Deodhar, Joydeep Ghosh
SAC
2004
ACM
15 years 11 months ago
A new algorithm for gap constrained sequence mining
The sequence mining problem consists in finding frequent sequential patterns in a database of time-stamped events. Several application domains require limiting the maximum tempor...
Salvatore Orlando, Raffaele Perego, Claudio Silves...
KDD
1999
ACM
184views Data Mining» more  KDD 1999»
15 years 10 months ago
Mining Optimized Gain Rules for Numeric Attributes
—Association rules are useful for determining correlations between attributes of a relation and have applications in the marketing, financial, and retail sectors. Furthermore, op...
Sergey Brin, Rajeev Rastogi, Kyuseok Shim