Dec 19, 2018 · ABC-LSH is a 3-step approach that approximates time series, hashes them via window sampling, and builds a network using the results of hashing.
In our approach, we first compute a compact randomized signature for each time series, then hash all series with the same signature to the same “bucket” such ...
Nov 1, 2019 · We propose a fast network discovery approach based on probabilistic hashing. Our methods emphasize consecutiveness, or the intuition that time series following ...
Nov 30, 2024 · Discovering and analyzing networks from non-network data is a task with applications in fields as diverse as neuroscience, genomics, ...
This repository hosts the code for our IEEE ICDM 2017 paper and follow-up KAIS journal paper on inferring networks from time series efficiently: Tara Safavi, ...
Bibliographic details on Fast network discovery on sequence data via time-aware hashing.
April 2017: Talk on efficient inference of networks from time series data at NetInf '17!. ... Fast Network Discovery on Sequence Data via Time-Aware Hashing.
Fast network discovery on sequence data via time-aware hashing. T Safavi, C Sripada, D Koutra. Knowledge and Information Systems 61 (2), 987-1017, 2019. 4, 2019 ...
This work proposes a fast network discovery approach based on probabilistic hashing of randomly selected time series subsequences that construct graphs ...
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[PDF] Danai Koutra - Electrical Engineering and Computer Science
web.eecs.umich.edu › ~dkoutra › C...
Fast Network Discovery on Sequence Data via. Time-Aware Hashing. Knowledge and Information Systems (KAIS), October 2019. 14. Asso Hamzehei, Raymond K. Wong ...