Semantic Scholar Open Access 2017 253 sitasi

Why Are Big Data Matrices Approximately Low Rank?

Madeleine Udell Alex Townsend

Lihat Sumber DOI

Abstrak

Matrices of (approximate) low rank are pervasive in data science, appearing in movie preferences, text documents, survey data, medical records, and genomics. While there is a vast literature on how...

Topik & Kata Kunci

Computer Science

Penulis (2)

Madeleine Udell

Alex Townsend

Format Sitasi

APA MLA BibTeX

Udell, M., Townsend, A. (2017). Why Are Big Data Matrices Approximately Low Rank?. https://doi.org/10.1137/18M1183480

Akses Cepat

Lihat di Sumber doi.org/10.1137/18M1183480

Informasi Jurnal

Tahun Terbit: 2017
Bahasa: en
Total Sitasi: 253×
Sumber Database: Semantic Scholar
DOI: 10.1137/18M1183480
Akses: Open Access ✓