publication . Article . Preprint . 2019

Tensor Completion Algorithms in Big Data Analytics

Song, Qingquan; Ge, Hancheng; Caverlee, James; Hu, Xia;
Open Access
  • Published: 29 Jan 2019 Journal: ACM Transactions on Knowledge Discovery from Data, volume 13, pages 1-48 (issn: 1556-4681, eissn: 1556-472X, Copyright policy)
  • Publisher: Association for Computing Machinery (ACM)
Abstract
Tensor completion is a problem of filling the missing or unobserved entries of partially observed tensors. Due to the multidimensional character of tensors in describing complex datasets, tensor completion algorithms and their applications have received wide attention and achievement in areas like data mining, computer vision, signal processing, and neuroscience. In this survey, we provide a modern overview of recent advances in tensor completion algorithms from the perspective of big data analytics characterized by diverse variety, large volume, and high velocity. We characterize these advances from four perspectives: general tensor completion algorithms, tenso...
Subjects
free text keywords: Tensor factorization, Tensor completion, Tensor, Data mining, computer.software_genre, computer, Tensor decomposition, Big data, business.industry, business, Computer science, Statistics - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Learning
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