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Identifying and Alleviating Concept Drift in Streaming Tensor Decomposition
25 April 2018
Ravdeep Pasricha
Ekta Gujral
Evangelos E. Papalexakis
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Papers citing
"Identifying and Alleviating Concept Drift in Streaming Tensor Decomposition"
8 / 8 papers shown
Title
tPARAFAC2: Tracking evolving patterns in (incomplete) temporal data
Christos Chatzis
Carla Schenker
Max Pfeffer
E. Acar
89
1
0
01 Jul 2024
A Time-aware tensor decomposition for tracking evolving patterns
Christos Chatzis
Max Pfeffer
Pedro Lind
E. Acar
46
2
0
14 Aug 2023
Fast and Accurate Dual-Way Streaming PARAFAC2 for Irregular Tensors -- Algorithm and Application
Jun-Gi Jang
Jeongyoung Lee
Yong-chan Park
U. Kang
48
4
0
28 May 2023
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xplainable Features for Tensors
William Shiao
Evangelos E. Papalexakis
40
3
0
19 Jun 2022
Streaming Generalized Canonical Polyadic Tensor Decompositions
E. Phipps
Nicholas T. Johnson
T. Kolda
55
5
0
27 Oct 2021
Employing chunk size adaptation to overcome concept drift
Jkedrzej Kozal
Filip Guzy
Michal Wo'zniak
AI4TS
26
4
0
25 Oct 2021
MemStream: Memory-Based Streaming Anomaly Detection
Siddharth Bhatia
Arjit Jain
Shivin Srivastava
Kenji Kawaguchi
Bryan Hooi
AI4TS
76
18
0
07 Jun 2021
Adaptive Granularity in Tensors: A Quest for Interpretable Structure
Ravdeep Pasricha
Ekta Gujral
Evangelos E. Papalexakis
AI4TS
153
6
0
19 Dec 2019
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