2016

Advanced analysis and learning on temporal data : first ECML PKDD Workshop, AALTD 2015, Porto, Portugal, September 11, 2015, Revised selected papers

AALTD (Workshop) (1st : 2015 : Porto, Portugal)

Switzerland : Springer, 2016

 

2020

Advanced analytics and learning on temporal data : 4th ECML PKDD Workshop, AALTD 2019, Würzburg, Germany, September 20, 2019, Revised selected papers

AALTD (Workshop) (4th : 2019 : Würzburg, Germany)

Cham : Springer, 2020

 

2021

Advanced forecasting with Python : with state-of-the-art-models including LSTMs, Facebook's Prophet, and Amazon's DeepAR

Korstanje, Joos



 

2010

Applied time series analysis and innovative computing

Ao, Sio-Iong.



 

2012

Automatic trend estimation

Vamoş, Călin



 

2014

Basic data analysis for time series with R

Derryberry, DeWayne R., author.

Hoboken, New Jersey : John Wiley & Sons, Inc., [2014]

 

2005

Computational intelligence in time series forecasting : theory and engineering applications

Palit, Ajoy K



 

2023

Data science.

[First edition]
[Place of publication not identified] : Packt Publishing, [2023]

 

2024

DEEP LEARNING FOR TIME SERIES COOKBOOK use PyTorch and Python recipes for forecasting, classification, and anomaly detection

Cerqueira, Vitor, author
1st edition


 

2023

Deep Learning in Time Series Analysis

Gharehbaghi, Arash



 

2023

Deep learning in time series analysis

Gharehbaghi, Arash, 1972- author.
First edition
Boca Raton : CRC Press, 2023

 

2015

Displaying time series, spatial, and space-time data with R

Perpiñán Lamigueiro, Óscar, author.

Boca Raton, FL : CRC Press, Taylor & Francis Group, [2015]

 

2018

Displaying time series, spatial, and space-time data with R

Perpiñán Lamigueiro, Óscar, author.
Second edition
Boca Raton : CRC Press, Taylor & Francis Group, 2018

 

2023

Forecasting time series data with Prophet : build, improve, and optimize time series forecasting models using Meta's advanced forecasting tool

Rafferty, Greg, author
Second edition
Birmingham, UK : Packt Publishing Ltd., 2023

 

2022

Getting started with time series forecasting in Python

[First edition]
[Place of publication not identified] : Manning Publications, [2022]

 

2015

Grammar-based feature generation for time-series prediction

De Silva, Anthony Mihirana, author

Singapore : Springer, 2015

 

2020

Hands-on time series analysis with Python : from basics to bleeding edge techniques

Vishwas, B. V

Berkeley, CA : APress, 2020

 

2019

Hands-On Time Series Analysis with R : Perform Time Series Analysis and Forecasting Using R

Krispin, Rami



 

2002

Introduction to time series and forecasting

Brockwell, Peter J.
Second edition
New York : Springer, [2002]

Request It 

2021

Jissen jikeiretsu kaiseki : tōkei to kikai gakushū ni yoru yosoku

Nielsen, Aileen, author.
Shohan
Tōkyō-to Shinjuku-ku : Orairī Japan, 2021

 

2018

Machine learning for time series data analysis

[First edition]
[Place of publication not identified] : O'Reilly Media, Inc., [2018]

 

2021

Machine Learning for Time-Series with Python Forecast, Predict, and Detect Anomalies with State-Of-the-art Machine Learning Methods

Auffarth, Ben



 

2022

MODERN TIME SERIES FORECASTING WITH PYTHON explore industry-ready time series forecasting using modern machine learning and deep learning

Manu, Joseph, author
1st edition


 

2023

A practical approach to timeseries forecasting using Python

[First edition]
[Place of publication not identified] : Packt Publishing, [2023]

 

2019

Practical time series analysis : prediction with statistics and machine learning

Nielson, Aileen, author
First edition
Sebastopol, CA : O'Reilly Media, [2019]

 

2018

SAS for forecasting time series

Brocklebank, John, author.
Third edition
Cary, NC : SAS Institute, [2018]

 

2011

Séries temporelles avec R : Méthodes et cas

Aragon, Yves.



 

2022

Shi jian xu lie fen xi shi zhan : ji yu ji qi xue xi he tong ji xue = Practical time series analysis

Nielsen, Aileen, author.
[First edition]
[Place of publication not identified] : Posts & Telecom Press, 2022

 

2022

Stochastic modeling : a thorough guide to evaluate, pre-process, model and compare time series with MATLAB software

Bonakdari, Hossein, author.

Amsterdam, Netherlands : Elsevier, 2022

 

2023

Time Series Algorithms Recipes : Implement Machine Learning and Deep Learning Techniques with Python

Kulkarni, Akshay R., author

New York, NY : Apress L. P., [2023]

 

1986

Time series analysis

Cryer, Jonathan D.

Boston : Duxbury Press, [1986]

Request It 

2011

Time series analysis and its applications : with R examples

Shumway, Robert H.
Third edition
New York : Springer, [2011]

Request It 

2008

Time series analysis : with applications in R

Cryer, Jonathan D
2nd ed


 

2019

Time series analysis with Pandas

[Miami, Florida] : Data Science Salon, 2019

 

2014

Time series databases : new ways to store and access data

Dunning, Ted, 1956- author.

Sebastopol, CA : O'Reilly Media, [2014]

 

2022

Time series forecasting in Python

Peixeiro, Marco, author

Shelter Island, NY : Manning Publications Co., [2022]

 

2022

Time series forecasting in Python

Peixeiro, Marco, author.
[First edition]
[Shelter Island, NY] : Manning Publications Co., [2022]

 

2022

Time series forecasting in Python

Video edition
[Place of publication not identified] : Manning Publications, [2022]

 

2017

Time-series prediction and applications : a machine intelligence approach

Konar, Amit, author.

Cham, Switzerland : Springer, 2017

 

2020

Universal time-series forecasting with mixture predictors

Ryabko, Daniil



 

2019

Working with time series : denoising and imputation frameworks to improve data density

Samani, Anjali, on-screen presenter

[Place of publication not identified] : O'Reilly Media, 2019