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Error-bounded Sampling for Analytics on Big Sparse Data.
Ying Yan
Liang Jeff Chen
Zheng Zhang
Published in:
Proc. VLDB Endow. (2014)
Keyphrases
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sparse data
big data
high dimensional
emerging patterns
data cube
learning analytics
random sampling
random samples
data management
data mining
random projections
estimation error
multi category
business intelligence
sample size
image features
unsupervised learning
cloud computing
multi dimensional
nearest neighbor