Multimodal Satellite Image Time Series Analysis Using GAN-Based Domain Translation and Matrix Profile (paper title) Anamaria Radoi 2022.
The underlying principles behind the Matrix Profile are delightfully simple yet powerful. Markus Heidt (2022).
The Matrix
profile approach long serves as a fundamental data mining method to
investigate time series, ...is widely accepted in the data science
community and has been successfully applied to various application
domains.. Ju et al. IPDPS 2022.
For our
purposes, the information 'source runs stably or not' can be extracted
by observing the statistical properties of the matrix-profile
data-array Geithner et al. IPAC2021
(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).
The results in the Matric Profile provide insights into the stability of the patterns presented in the players. Guglielmo et. al.
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
Our approach exploits the synergism of the matrix profile data analysis technique. Nichiforov et al. Energies 2021, 14, 7465.
Our version of time series analysis is based on Matrix Profile. Onur Mutlu et al. 2022
(to diagnose) Decubitus Prophylaxis we use the Matrix Profile. Richter et. al. PerCom 2022
We
successfully detected a deauthentication attack on a smart farm
architecture using MERLIN, a (discord) distance-based anomaly detection
algorithm. Sina Sontowski 2022
we detect and locate the appearance of repeating patterns based on the Matrix Profile. Lit et al. 2021 IEEE Mobile Ad Hoc and Smart Systems.
Another use
case for the metamodel is the processing of more than 200,000 time
series with a total of more than 30 million individual data points.
..for detecting anomalies and finding regime change locations, Matrix
Profile algorithms are used.. Latapie et al. Front. Psychol., 20 May 2022
For detecting Decubitus Prophylaxis we use the Matrix Profile. Grunerbel et. al. 2022 IEEE Pervasive Computing and Communications.
As the most
complex and largest dataset, the BETH dataset presents challenges to
any anomaly detection technique. The matrix profile anomaly detector
presented here performed well, not missing any of the evil outliers. Alexander Beattie 2022
..our
new recovery method that uses the matrix profile to extract the
top-k repeated patterns from sensor nodes within the same group and.. Berjab et al 2022
The matrix
profile based framework yielded a cumulative average recall value of
0.92. This is proof that this algorithm is working remarkably well. Gandra 2022, Anomaly Detection for Smart Infrastructure: An Unsupervised Approach for Time Series Comparison
The Matrix
Profile algorithm is well-suited for anomaly detection tasks such as
this.. We found that all these similarity or randomness measures can be
estimated with variants of the highly efficient Matrix Profile.. Wang 2022
To implement this concept, the matrix profile algorithm was chosen. S. Costa et al. J. Sens. Actuator Netw. 2022
The
proposed approach employs a pattern recognition technique derived from
the matrix profile (MP) .. for the automatic detection of energy
consumption anomalies at the whole-building level. Chiosa et al. 2022
We
demonstrate the effectiveness of our method over state-of-the-art
methods (based on) a solution based on Contextual Matrix Profile (CMP),
an exact and ultra-fast distance-based anomaly detection algorithm. Bijlani 2022
..solve these problems by a modified approach in which a time series prediction used matrix profile with adjacent pairs.. Tran et al 2022
For this task (Telemonitored Continuous Positive Airway Pressure ), we employed method Matrix Profile.. Rodrigues et al 2022
.
. and use the time window and the matrix profile to obtain the local correlation of the co-occurrence time series data.. Lin et al 2022
..the preliminary findings illustrate that the matrix profile algorithm can efficiently detect IoT-based DDoS attacks. Alzahrani et al. 2020
For
decarbonizing primary steel production one of the methods to gain a
deeper understanding of the data and extract patterns and anomalies
embedded in the dataset, is .. Matrix profile .. an innovative and fast
technique. Bhaskar et al. 2022.
The approach used by SHAPEwarp is inspired by the BLAST algorithm and it builds on top of .. Matrix Profile. Morandi et al. nature communications 2022.
Our results suggest that AU features extracted using the
Matrix Profile method can be used to
discriminate between experts, intermediates, and novices when used to train a
classifier. Guglielmo et al. 2022
Specifically,
the Matrix Profile algorithm is shown to be well suited as a
generalizable approach for detecting real-time anomalies in streaming
time-series data. The Matrix Profile is shown to behave robustly and
accurately for all fault types presented. Beattie et al. 2022
(our work) inherits the speed, accuracy, and simplicity of
the Matrix Profile, providing configurability, the ability to denoise and
detect patterns, and explainability to clinical practitioners Bijlani et al.
2022