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» Improving data mining utility with projective sampling
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SDM
2007
SIAM
133views Data Mining» more  SDM 2007»
13 years 7 months ago
On Point Sampling Versus Space Sampling for Dimensionality Reduction
In recent years, random projection has been used as a valuable tool for performing dimensionality reduction of high dimensional data. Starting with the seminal work of Johnson and...
Charu C. Aggarwal
ICDM
2008
IEEE
121views Data Mining» more  ICDM 2008»
14 years 2 days ago
Fast and Memory Efficient Mining of High Utility Itemsets in Data Streams
Efficient mining of high utility itemsets has become one of the most interesting data mining tasks with broad applications. In this paper, we proposed two efficient one-pass algor...
Hua-Fu Li, Hsin-Yun Huang, Yi-Cheng Chen, Yu-Jiun ...
ICDM
2002
IEEE
132views Data Mining» more  ICDM 2002»
13 years 10 months ago
Speed-up Iterative Frequent Itemset Mining with Constraint Changes
Mining of frequent itemsets is a fundamental data mining task. Past research has proposed many efficient algorithms for the purpose. Recent work also highlighted the importance of...
Gao Cong, Bing Liu
SIGMOD
2000
ACM
110views Database» more  SIGMOD 2000»
13 years 10 months ago
Density Biased Sampling: An Improved Method for Data Mining and Clustering
Christopher R. Palmer, Christos Faloutsos
ICDM
2008
IEEE
110views Data Mining» more  ICDM 2008»
14 years 2 days ago
Start Globally, Optimize Locally, Predict Globally: Improving Performance on Imbalanced Data
Class imbalance is a ubiquitous problem in supervised learning and has gained wide-scale attention in the literature. Perhaps the most prevalent solution is to apply sampling to t...
David A. Cieslak, Nitesh V. Chawla