Invariant time-series factorization

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Grabocka, Josif, and Lars Schmidt-Thieme. “Invariant Time-Series Factorization”. Data Mining and Knowledge Discovery, vol. 28, no. 5-6, 2014, pp. 1455-79, https://doi.org/10.1007/s10618-014-0364-z.
Grabocka, J., & Schmidt-Thieme, L. (2014). Invariant time-series factorization. Data Mining and Knowledge Discovery, 28(5-6), 1455-1479. https://doi.org/10.1007/s10618-014-0364-z
Grabocka, Josif, and Lars Schmidt-Thieme. “Invariant Time-Series Factorization”. Data Mining and Knowledge Discovery 28, no. 5-6 (2014): 1455-79. https://doi.org/10.1007/s10618-014-0364-z.
Grabocka J, Schmidt-Thieme L. Invariant time-series factorization. Data Mining and Knowledge Discovery. 2014;28(5-6):1455-79.
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Mathematics
Instruments and machines
Electronic computers
Computer science
Science
Science (General)
Cybernetics
Information theory
Technology
Electrical engineering
Electronics
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Electronics
Technology
Mechanical engineering and machinery
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Citations
Title Journal Journal Categories Citations Publication Date
Incremental Factorization of Big Time Series Data with Blind Factor Approximation IEEE Transactions on Knowledge and Data Engineering
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Science (General): Cybernetics: Information theory
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
 2021
Data compression approach for the home energy management system Applied Energy
  • Social Sciences: Industries. Land use. Labor: Special industries and trades: Energy industries. Energy policy. Fuel trade
  • Technology: Chemical technology: Chemical engineering
  • Technology: Environmental technology. Sanitary engineering
  • Technology: Engineering (General). Civil engineering (General)
 12 2019
On time series classification with dictionary-based classifiers Intelligent Data Analysis
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 2019
Integrating Data-Driven Segmentation, Local Feature Extraction and Fisher Kernel Encoding to Improve Time Series Classification Neural Processing Letters
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 3 2018
Multidimensional scaling method for complex time series feature classification based on generalized complexity-invariant distance Nonlinear Dynamics
  • Technology: Mechanical engineering and machinery
  • Technology: Engineering (General). Civil engineering (General): Mechanics of engineering. Applied mechanics
  • Technology: Mechanical engineering and machinery
  • Technology: Engineering (General). Civil engineering (General)
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Citations Analysis
Category Category Repetition
Science: Mathematics: Instruments and machines: Electronic computers. Computer science4
Technology: Mechanical engineering and machinery3
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics2
Technology: Engineering (General). Civil engineering (General)2
Social Sciences: Industries. Land use. Labor: Special industries and trades: Energy industries. Energy policy. Fuel trade1
Technology: Chemical technology: Chemical engineering1
Technology: Environmental technology. Sanitary engineering1
Technology: Engineering (General). Civil engineering (General): Mechanics of engineering. Applied mechanics1
Science: Science (General): Cybernetics: Information theory1
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware1
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 4 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Time series representation and similarity based on local autopatterns and was published in 2015. The most recent citation comes from a 2021 study titled Incremental Factorization of Big Time Series Data with Blind Factor Approximation. This article reached its peak citation in 2019, with 2 citations. It has been cited in 7 different journals. Among related journals, the IEEE Transactions on Knowledge and Data Engineering cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year