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1How to use Pearson correlation correctly with time series - Cross Validated
https://stats.stackexchange.com/questions/133155/how-to-use-pearson-correlation-correctly-with-time-series
7 months ago by @becker
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spurious
correlation
pearson
time
series
timeseries
spuriouscorrelationpearsontimeseriestimeseries
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17.2 Trend methods | Forecasting: Principles and Practice
https://otexts.com/fpp2/holt.html
7 months ago by @thoni
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forecasting
holt
series
time
forecastingholtseriestime
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2Prometheus - Monitoring system & time series database
An open-source monitoring system with a dimensional data model, flexible query language, efficient time series database and modern alerting approach.
10 months ago by @nosebrain
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metric
monitoring
prometheus
series
system
time
metricmonitoringprometheusseriessystemtime
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1USC Melady Lab
http://www-bcf.usc.edu/~liu32/research.html
a year ago by @thoni
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causal
datasets
detection
modeling
series
time
causaldatasetsdetectionmodelingseriestime
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1ratschlab/RGAN: Recurrent (conditional) generative adversarial networks for generating real-valued time series data.
https://github.com/ratschlab/RGAN
a year ago by @becker
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real
valued
time
series
multi
dim
dimensional
gan
recurrent
neural
network
conditional
realvaluedtimeseriesmultidimdimensionalganrecurrentneuralnetworkconditional
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1Mage: The Magical Time Series Backend Behind Parse.ly Analytics | Parse.ly
https://blog.parse.ly/post/1633/mage/
a year ago by @becker
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mage
real
time
log
processing
kafka
hadoop
storm
apache
stack
s3
spark
parse.ly
python
python3
py
series
timeseries
dashboard
logs
magerealtimelogprocessingkafkahadoopstormapachestacks3sparkparse.lypythonpython3pyseriestimeseriesdashboardlogs
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3GitHub - patrickzib/SFA: Scalable Time Series Data Analytics
https://github.com/patrickzib/SFA
2 years ago by @e.fischer
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analysis
series
time
analysisseriestime
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1Li-wei H. Lehman - Google Scholar Citations
https://scholar.google.ch/citations?hl=en&user=cIjXidQAAAAJ&view_op=list_works&sortby=pubdate
2 years ago by @becker
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time
series
timeseries
bayes
nonparametric
non
parametric
medical
medicin
mit
timeseriestimeseriesbayesnonparametricnonparametricmedicalmedicinmit
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1Walking Dead New Season Hottest
Walking Dead season 8 is going to be a hottest thing on October 22, 2017. The War is here
3 years ago by @jordan69m
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TV
drama
movie
series
TVdramamovieseries
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1A Comparison of Time Series Databases and Netsil’s Use of Druid
https://blog.netsil.com/a-comparison-of-time-series-databases-and-netsils-use-of-druid-db805d471206
3 years ago by @becker
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time
series
database
db
databases
comparison
timeseriesdatabasedbdatabasescomparison
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3patrickzib/SFA: Scalable Time Series Data Analytics
https://github.com/patrickzib/SFA
3 years ago by @becker
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time
series
classification
fourier
bag
of
words
timeseriesclassificationfourierbagofwords
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1Taking Prophet for a Spin
http://blog.fastforwardlabs.com/2017/03/22/prophet.html
3 years ago by @becker
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bayes
time
series
forecasting
prophet
google
probabilistic
programming
stan
bayestimeseriesforecastingprophetgoogleprobabilisticprogrammingstan
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120 séries à regarder en rafale et sous la couette | ICI.Radio-Canada.ca
http://ici.radio-canada.ca/nouvelle/1007985/series-tele-numeriques-web-fetes
3 years ago by @danielle.dennie
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series
television
tv
seriestelevisiontv
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1Voici les séries à regarder ! - La Presse+
Lentement, mais sûrement, la pause des Fêtes approche et la promesse de longues journées à paresser en pyjama neuf devant la télé nous motive à demeurer « opérationnels » jusqu’à cette date bénie.&hel
3 years ago by @danielle.dennie
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series
television
tv
seriestelevisiontv
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1Characterization and interpretation of electrical signals from random networks of cultured neurons. - Google Search
http://www.google.com/search?hl=en&q=Characterization+and+interpretation+of+electrical+signals+from+random+networks+of+cultured+neurons.&btnG=Google+Search
3 years ago by @bshanks
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Bookmarks
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JSTOR:
Science:
New
Series
Vol.
269
No.
p.
BookmarksBookmarks_MenutoreadJSTOR:Science:NewSeriesVol.269No.p.
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1Neuroscience Wiki: LearningInCulture
http://www.ifi.unizh.ch/~andel/neurowiki/nw.cgi/LearningInCulture
3 years ago by @bshanks
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JSTOR:
Science:
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Series
Vol.
269
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BookmarksBookmarks_MenutoreadJSTOR:Science:NewSeriesVol.269No.p.
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1JSTOR: Science: New Series, Vol. 269, No. 5226, p. 981
http://www.jstor.org/view/00368075/di002329/00p0318o/0
3 years ago by @bshanks
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Bookmarks
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JSTOR:
Science:
New
Series
Vol.
269
No.
p.
BookmarksBookmarks_MenutoreadJSTOR:Science:NewSeriesVol.269No.p.
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1Entrez PubMed
http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dopt=Abstract&list_uids=8773310&query_hl=3
3 years ago by @bshanks
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JSTOR:
Science:
New
Series
Vol.
269
No.
p.
BookmarksBookmarks_MenutoreadJSTOR:Science:NewSeriesVol.269No.p.
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1Entrez PubMed
http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dopt=Abstract&list_uids=9311166&query_hl=3
3 years ago by @bshanks
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JSTOR:
Science:
New
Series
Vol.
269
No.
p.
BookmarksBookmarks_MenutoreadJSTOR:Science:NewSeriesVol.269No.p.
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1Gross: Experimental and theoretical analysis of random nerve cell network dynamics - Google Scholar
http://scholar.google.com/scholar?hl=en&lr=&q=link:H2yFhcxPeDAJ:scholar.google.com/
3 years ago by @bshanks
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JSTOR:
Science:
New
Series
Vol.
269
No.
p.
BookmarksBookmarks_MenutoreadJSTOR:Science:NewSeriesVol.269No.p.
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2An Evaluation of Models for Runtime Approximation in Link Discovery
K. Georgala, M. Hoffmann, and A. Ngomo. Proceedings of the International Conference on Web Intelligence, page 57--64. New York, NY, USA, ACM, (2017)
5 months ago by @aksw
show all tags
approximation
dice
discovery,
georgala
group_aksw
limes
link
ngonga
projecthobbit
runtime
sake
series
simba
specifications
taylor
approximationdicediscovery,georgalagroup_akswlimeslinkngongaprojecthobbitruntimesakeseriessimbaspecificationstaylor
(0)
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1Prediction of Asset Trends in Financial Series Using Machine Learning Algorithms
D. Esteves. Military Institute of Engineering / Brazilian Army, Praca General Tibúrcio, 80 - Praia Vermelha, Rio de Janeiro - RJ, Brazil, (June 2014)
5 months ago by @aksw
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2014
assets
esteves
market
series
stock
time
2014assetsestevesmarketseriesstocktime
(0)
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3Mass Cytometry and Topological Data Analysis Reveal Immune Parameters Associated with Complications after Allogeneic Stem Cell Transplantation
T. Lakshmikanth, A. Olin, Y. Chen, J. Mikes, E. Fredlund, M. Remberger, B. Omazic, and P. Brodin. Cell Reports 20 (9): 2238 - 2250 (2017)
6 months ago by @becker
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allogeneic
cell
correlation
cytof
cytometry
immune
longitudinal
mass
multiomics
nalab
network
series
stem
system
time
timeseries
topology
transplantation
allogeneiccellcorrelationcytofcytometryimmunelongitudinalmassmultiomicsnalabnetworkseriesstemsystemtimetimeseriestopologytransplantation
(0)
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1Electrochemical Potential Oscillations across the Electrolytic Cells Connected in Series
D. Rajput. International Journal of Chemistry; Vol. 8, No. 1; 2016 ISSN 1916-9698 E-ISSN 1916-9701 Published by Canadian Center of Science and Education 8 (1): 32-39 (2016)
7 months ago by @chetansing1129
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Electrochemical
Oscillations
anode
chloride
copper
electrolyte
myown
series
ElectrochemicalOscillationsanodechloridecopperelectrolytemyownseries
(1)
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1Applied Excel for Business and Marketing
M. Nwe. International Journal of Trend in Scientific Research and Development 3 (5): 1880-1882 (August 2019)
9 months ago by @ijtsrd
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Applied
As
Database
Excel
ForecastEts
Methods
Miining
Seasonality
Series
Such
Time
and
the
AppliedAsDatabaseExcelForecastEtsMethodsMiiningSeasonalitySeriesSuchTimeandthe
(0)
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1A 15-year overview of increasing tramadol utilisation and associated mortality and the impact of tramadol classification in the United Kingdom
T. Chen, L. Chen, and R. Knaggs. Pharmacoepidemiology and Drug Safety 27 (5): 487--494 (May 2018)
10 months ago by @jepcastel
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analysis,pharmacoepidemiology,tramadol,tramadol
classification,tramadol-related
drug
mortality
series
time
utilisation,interrupted
analysis,pharmacoepidemiology,tramadol,tramadolclassification,tramadol-relateddrugmortalityseriestimeutilisation,interrupted
(0)
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1Modeling and Simulation of Unified Series Shunt Compensator for Power Quality Improvement
R. Malekar. International Journal of Trend in Scientific Research and Development 3 (4): 291-294 (May 2019)
11 months ago by @ijtsrd
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6.0
Electrical
Engineering
Power
Quality
Unified
compensator
inverter
pulse
series
shunt
6.0ElectricalEngineeringPowerQualityUnifiedcompensatorinverterpulseseriesshunt
(0)
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1Soft Computing Techniques Based Image Classification using Support Vector Machine Performance
T. Shukla. International Journal of Trend in Scientific Research and Development 3 (3): 1645-1650 (March 2019)
12 months ago by @ijtsrd
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Artificial
Intelligence
PSD
SVM
dynamic
kernel
machine
method
series
support
time
vector
warping
ArtificialIntelligencePSDSVMdynamickernelmachinemethodseriessupporttimevectorwarping
(0)
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3A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data.
C. Zhang, D. Song, Y. Chen, X. Feng, C. Lumezanu, W. Cheng, J. Ni, B. Zong, H. Chen, and N. Chawla. (2018)
12 months ago by @nosebrain
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anomaly
deep
detection
learning
series
time
anomalydeepdetectionlearningseriestime
(0)
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1The Study on Relationship between Gold and Oil - A General Perspective
D. Perumal. International Journal of Trend in Scientific Research and Development 3 (2): 474-476 (February 2019)
a year ago by @ijtsrd
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Gold
assets
econometric
hedging
inflation
prices
series
technique
time
Goldassetseconometrichedginginflationpricesseriestechniquetime
(0)
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1The Promise of Social Signal Processing for Research on Decision Making in Entrepreneurial Contexts
W. Liebregts, P. Darnihamedani, E. Postma, and M. Atzmueller. Small Business Economics. Special Issue on Big Data and Artificial Intelligence ((In Press) 2019)
a year ago by @atzmueller
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2019
computing
data
decision
discovery
entrepreneurship
human
making
mining
myown
processing
research
series
signal
social
time
2019computingdatadecisiondiscoveryentrepreneurshiphumanmakingminingmyownprocessingresearchseriessignalsocialtime
(0)
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1Human Gait Model for Automatic Extraction and Description for Gait Recognition
A. Bhangale. International Journal on Bioinformatics & Biosciences (IJBB) Volume 2 (Number 2): 15-28 (June 2012)
2 years ago by @jack-12
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Fourier
analysis
classification
images
magnitude
of
phase-weighted
sequence
series
statistical
Fourieranalysisclassificationimagesmagnitudeofphase-weightedsequenceseriesstatistical
(0)
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1Model of Multiple Artificial Neural Networks Oriented on Sales Prediction and Product Shelf Design
A. Massaro, V. Vitti, and A. Galiano. International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI) 7 (3): 19 (August 2018)
2 years ago by @leninsha
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ANN
Artificial
Facing
Forecasting
Hybrid
Merchandising
Model.
Multiple
Networks
Neural
Prediction
Product
RapidMiner
Sales
Series
Times
Visual
Weka
ANNArtificialFacingForecastingHybridMerchandisingModel.MultipleNetworksNeuralPredictionProductRapidMinerSalesSeriesTimesVisualWeka
(0)
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1Performance Improvement Analysis on PV/T Solar Water Collectors Connected in Series and Parallel
S. Senthilkumar. International Journal of Trend in Scientific Research and Development 2 (4): 966-970 (June 2018)
2 years ago by @ijtsrd
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Engineering
Mechanical
PV/T
Parallel
Series
Solar
Unglazed
etc
EngineeringMechanicalPV/TParallelSeriesSolarUnglazedetc
(0)
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1Effects of Parameter Variations of PV Module based on MATLAB-Simulink Modeling
H. Pal. International Journal of Trend in Scientific Research and Development 1 (4): 665-671 (June 2017)
2 years ago by @ijtsrd
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/simulink
Electrical
Engineering
MATLAB
and
current
maximum
panel
point
power
radiation
resistance
saturation
series
shunt
solar
temperature
/simulinkElectricalEngineeringMATLABandcurrentmaximumpanelpointpowerradiationresistancesaturationseriesshuntsolartemperature
(0)
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3Explanation-Aware Feature Selection using Symbolic Time Series Abstraction: Approaches and Experiences in a Petro-Chemical Production Context
M. Atzmueller, N. Hayat, A. Schmidt, and B. Klöpper. Proc. IEEE International Conference on Industrial Informatics (INDIN), Boston, MA, USA, IEEE Press, (2017)
2 years ago by @kde-alumni
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2017
data
discovery
feature
feepub
industrial
itegpub
mining
myown
sax
selection
series
time
2017datadiscoveryfeaturefeepubindustrialitegpubminingmyownsaxselectionseriestime
(0)
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8Visualizing The Impact of Time Series Data for Predicting User Interactions
B. Macek, and M. Atzmueller. (2013)
2 years ago by @kde-alumni
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2013
diffusion
itegpub
linkprediction
myown
series
time
venus
visualizing
2013diffusionitegpublinkpredictionmyownseriestimevenusvisualizing
(0)
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1An Interesting Application of Simple Exponential Smoothing in Music Analysis
S. Chakraborty, S. Sarkar, S. Tewari, and M. Pal. International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI) 2 (4): 8 (August 2013)
2 years ago by @leninsha
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Simple
exponential
melody
modeling
raga
series
structure
time
Simpleexponentialmelodymodelingragaseriesstructuretime
(0)
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2On-line motif detection in time series with SwiftMotif.
E. Fuchs, T. Gruber, J. Nitschke, and B. Sick. Pattern Recognition 42 (11): 3015-3031 (2009)
2 years ago by @houria
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Detection
Motif
On-line
Series
SwiftMotif
Time
With
in
DetectionMotifOn-lineSeriesSwiftMotifTimeWithin
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3Online Segmentation of Time Series Based on Polynomial Least-Squares Approximations
E. Fuchs, T. Gruber, J. Nitschke, and B. Sick. IEEE Transactions on Pattern Analysis and Machine Intelligence 32 (12): 2232--2245 (2010)
2 years ago by @houria
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Approximations
Based
Least-Squares
Online
Polynomial
Segmentation
Series
Time
of
on
ApproximationsBasedLeast-SquaresOnlinePolynomialSegmentationSeriesTimeofon
(0)
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