Metric Compression
Metric Compression is a computational method within the domain of metrics collection that reduces the dimensionality or volume of collected metrics while preserving essential information for analysis.
41
Publications
2K
Citations
101
Authors
59
Institutions
Publications per year
2017–2026
11
Parents
41
Representation Tradeoffs for Hyperbolic Embeddings
Christopher De, Albert Gu, Christopher Ré et al. · arXiv (Cornell University) · 2018 · 190 citations · Full text
Regression Cubes with Lossless Compression and Aggregation
Yixin Chen, Guozhu Dong, Jiawei Han et al. · IEEE Transactions on Knowledge and Data Engineering · 2006 · 79 citations · Full text
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University of Haifa
Haifa, Israel
3 h-index
6 publications
172 citations

Vanderbilt University
Nashville, United States
3 h-index
6 publications
309 citations
Stanford University
Stanford, United States
3 h-index
7 publications
706 citations
Microsoft (United States)
Redmond, United States
2 h-index
2 publications
28 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
2 publications
652 citations

University of Amsterdam
Amsterdam, The Netherlands
2 h-index
2 publications
82 citations
University of Michigan
Ann Arbor, United States
2 h-index
2 publications
68 citations
University of California, Santa Cruz
Santa Cruz, United States
2 h-index
6 publications
216 citations
1–8 of 59
TPAMI · 2 publications · 675 citations
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1 publications · 34 citations
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1 publications · 16 citations
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1 publications · 36 citations
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Conference · 1 publications · 21 citations
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