(for)
intrusion detection in industrial network traffic, distances as
calculated with Matrix Profiles rises significantly during the attacks.
..as a result, time series-based anomaly detection methods are capable
of detecting deviations and anomalies. Schotten (2019).
Based on
the concept of Matrix Profile ..without relying on time series
synchronization.. the Railway Technologies Laboratory of Virginia Tech
has been developing an automated onboard data analysis for the
maintenance track system Ahmadian et. al. JRC2019
Matrix Profile is the state-of-the-art similarity-based outlier detection method. Christian Jensen et. al. IJCAI-19
we use the exact method based on the Matrix Profile (to assess the effectiveness of therapy)
Funkner et al Procedia 2019.
Recently, a research group from UCR have proposed a powerful tool - the Matrix Profile (MP) as a primitive...(we use it for) fault detection Jing Zhang et al. ICPHM 2019
Inspecting
both graphs one can see that the matrix-profile algorithm was able to
identify regions where there is a change on the power level over
the observed band. F Lobao 2019.
RAMP
builds upon an existing time series data analysis technique called
Matrix Profile to detect anomalous distances...collected from
scientific workflows in an online manner. Herath et. al. IEEE Big Data 2019
Based on
obtained results for the considered data set, matrix profiles turned
out to be most suitable for the task of anomaly detection Lohfink et al. VISSEC2019
The computation speed and exactness of the Matrix Profile make it a powerful tool and (our) results back this. Barry & Crane AICS 2019
(examining) manufacturing batches considering raw amperage (we found that the) Matrix Profile highlights anomalies Hillion & O'Connell of TIBCO Data Science. re:Invent 2019. [video]
we use the exact method based on the matrix profile to
search for motifs (that) can be used to monitor the patient's condition, to
assess the effectiveness of therapy or to assess the physician's actions. Funknera
et al. YSCCS 2019
(The Matrix Profile is a)
similarity join to measure the
similarity between two given sequences. we opt for the median of the profile
array as the representative distance (3D Dancing Move Synthesis from Music)"
Anh
et al. IEEE Robotics and Automation Letters (
video)
We were amazed by the power of MP and seek to incorporate it into our framework Ye and Ageno.
..adopting the concept of (the) Matrix Profile, we conduct the first attempt to.. J. Zuo et. al. Big Data 20019
The
accuracies obtained ...indicate that the Matrix Profile is useful for
the task at hand instead of using the CNN features directly Dhruv Batheja
To speed up online bad PMU data detection a fast discovery strategy is introduced based on (the Matrix Profile) Zhu and Hill.
Specifically, ALDI uses the matrix profile method to quantify the similarities of daily subsequences in time series meter data, Zoltan Nagy, Energy & Buildings (2020)
Our two-fold approach first leverages the Matrix Profile technique for time series data mining.. Nichiforov 2020.
the
class of matrix profile algorithms.. ..is a promising approach, as it
allows simplified post-processing and analysis steps by examining the
resulting matrix profile structureA. Raoofy et al.
We only
require information about the time of several critical incidents to
train our methods, as previously. To this end, we employ the Matrix
Profle.. Bellas. et al.
a
matrix-profile based algorithm applied across all trajectory data
against a validation set revealed four significant motifs which we
defined as motif A, B, C and D.. Fernandez Alvarez 2020.
The main building block of this (game analytics) algorithm is the matrix profile, Saadat and Sukthankar AAAI2020
We call the custom Matrix Profile and box-plot approach as STUMPI-BP and employ it for all types of time series that.. Huawei Ireland Research Centre
The state-of-the-art exact anytime method for motif and discord discovery is matrix profile. Onur Mutlu et al.
Matrix Profile requires less training time, data and parameter tuning compared to other data mining methods.. Stamatescu et al.
(our)
approach is based on matrix profile, which is a method for time
series analysis that is robust, domain-agnostic, and computationally
efficient. Van Hoecke et al 2020
(we
conducted) five cases, which demonstrate how the matrix profile based
pattern recognition approach can be used in the power boiler
environment. In general (this) resulted in promising outcomes. Liisa Nokelainen 2020.
To investigate the physiological reaction, we used Matrix Profile.. Lalanne et al. 2020
Our time series mining uses the Matrix Profile approach.. Poerwawinata 2020
To this end, by adopting the concept Shapelet and Matrix Profile, we conduct the first attempt to.. Zeitouni et al.
Three
anomalies were found near bridges and were indicated as low priority
track issues. Two anomalies were... The Matrix Profiler found all these
anomalies Steenwinckel et al 2020
Matrix
Profile is a dimension reduction approach which requires less training
time, data and parameter tuning compared to other data mining methods. Nichiforov et al.
Our solution will rely on Matrix Profile to allocate these discords in order to learn the anomalies. Alshaer et al.
The state-of-the-art exact anytime method for motif and discord discovery is matrix profile. Fernandez et. al.
Out of
these methods, matrix profile is chosen in this paper due to its
scalability and computational efficiency, while being also robust and
parameter-free. Herrera et al 2021
The Matrix Profile (MP) algorithm has the potential to revolutionise many areas of data analysis.. Cartwright et al Engineering Proceedings
..we detect and locate the appearance of repeating patterns based on the Matrix Profile.. Li et al. IEEE MASS
We leverage the Matrix Profile (MP) to create a micro-service-based machinery monitoring solution Naskos et al 2021
SLMAD uses statistical-learning and employs a robust box-plot algorithm and Matrix Profile (MP) to detect anomalies. Team from Huawei/UCD.
We found
that all these similarity or randomness measures can be estimated with
variants of the highly efficient Matrix Profile (MP) algorithm. Austin Health/ University of Melbourne
We present, to the best of our knowledge, the first FPGA implementation of a Matrix Profile algorithm. Future Generation Computer Systems 2021
Out of
these methods, matrix profile is chosen in this article due to its
scalability and computational efficiency, while being also robust doing
so increased accuracy and computational efficiency for detecting
where and when anomalies and pattern irregularities occur. PARLIKAD et al 2021