"Algorithms for Time Series Data" - similar Books and Chapters

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Book	Author(s)	Year	Publisher
Time Series for Data Science	Wayne A. Woodward; Bivin Philip Sadler; Stephen Robertson	2022	Routledge
Neural, novel & hybrid algorithms for time series prediction /	Masters, Timothy.	[1995], ©1995.	John Wiley & Sons,
Algorithms for Data Science	Brian Steele; John Chandler; Swarna Reddy	1st ed. 2016	Springer International Publishing
Algorithms for Clustering Data	Anil K. Jain, Richard C. Dubes	1988	Prentice Hall College Div
Algorithms For Big Data	Feldman, Moran	2021	World Scientific Publishing Co. Pte. Ltd.
Data algorithms	Parsian, Mahmoud	2015	O'Reilly Media
Basic Data Analysis for Time Series with R	DeWayne R. Derryberry	2014	John Wiley & Sons
Data Mining Algorithms in C++: Data Patterns and Algorithms for Modern Applications	Timothy Masters	1st ed.	Apress
Time Series Analysis Methods and Applications for Flight Data	Jianye Zhang; Peng Zhang	1st ed. 2017	Springer Berlin Heidelberg
Linear Models for Multivariate, Time Series, and Spatial Data	Ronald Christensen	1991	Springer New York
Time series data analysis and synthesis for research watersheds	W. M. Snyder	1976	Agricultural Research Service, U.S. Dept. of Agriculture
Time Series and Panel Data Econometrics	M. Hashem Pesaran	2015	Oxford University Press
TIME SERIES DATA ANALYSIS USING EVIEWS	I Gusti Ngurah Agung Ph.D., MSc.,	2009	John Wiley & Sons
Time Series Modeling of Neuroscience Data	Tohru Ozaki	2012	Routledge
Time series: data analysis and theory	David R. Brillinger	2001	Society for Industrial and Applied Mathematics
Data Mining In Time Series Databases	Mark Last, Abraham Kandel, Horst Bunke	2004	World Scientific
Time Series and Panel Data Econometrics	M. Hashem Pesaran	2015	Oxford
Sublinear Algorithms for Big Data Applications	Dan Wang; Zhu Han	1st ed. 2015	Springer International Publishing
Algorithms for Data and Computation Privacy	Alex X. Liu; Rui Li	1st ed. 2021	Springer International Publishing
Disk-Based Algorithms for Big Data	Christopher Healey	2016	Routledge
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Algorithms for Time Series Data	Kishan G. Mehrotra; Chilukuri K. Mohan; HuaMing Huang	Anomaly Detection Principles and Algorithms	Kishan G. Mehrotra; Chilukuri K. Mohan; HuaMing Huang	1st ed. 2017	Springer International Publishing
Algorithms for time series analysis		The Machine Learning Solutions Architect Handbook: Create machine learning platforms to run solutions in an enterprise setting	David Ping	2022	Packt Publishing
On Some Fuzzy Clustering Algorithms for Time-Series Data	Mizuki Fujita; Yuchi Kanzawa	Integrated Uncertainty in Knowledge Modelling and Decision Making: 9th International Symposium, IUKM 2022, Ishikawa, Japan, March 18–19, 2022, Proceedings	Katsuhiro Honda; Tomoe Entani; Seiki Ubukata; Van-Nam Huynh; Masahiro Inuiguchi	1st ed. 2022	Springer International Publishing
Machine learning algorithms for time-series		Machine Learning for Time-Series with Python: Forecast, predict, and detect anomalies with state-of-the-art machine learning methods	Ben Auffarth	2021	Packt Publishing - ebooks Account
Algorithms for time series knowledge mining	F. Moerchen	KDD-2006: proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining: August 20-23, 2006, Philadelphia, PA, USA /	Ungar, Lyle.; Craven, Mark.; Gunopulos, Dimitrios,; Eliassi-Rad, Tina.	2006.	ACM Press,
Time Series Data	Paul S.P. Cowpertwait; Andrew V. Metcalfe	Introductory Time Series with R	Paul S.P. Cowpertwait; Andrew V. Metcalfe	2009	Springer New York
Time Series Data		Encyclopedia of Big Data	Laurie A. Schintler; Connie L. McNeely	1st ed. 2022	Springer International Publishing
Time Series Data		Introduction to econometrics	Mark W. Watson; James H. Stock	2019	Pearson Education, Limited
Time series data		Mastering Machine Learning with R: Advanced machine learning techniques for building smart applications with R 3. 5, 3rd Edition	Cory Lesmeister	2019	Packt Publishing
Time Series Data		Introduction to econometrics	James H. Stock; Mark W. Watson	2015	Pearson Education
Time-series data		Statistics for Economics, Accounting and Business Studies	Michael Barrow	2006	Prentice Hall
Time-Series Data		Cloud Native DevOps with Kubernetes: Building, Deploying, and Scaling Modern Applications in the Cloud	Justin Domingus, John Arundel	2022	O'Reilly Media
Time series data		Hands-On Ensemble Learning with Python	George Kyriakides; Konstantinos G Margaritis	2019	Packt Publishing, Limited
Time Series Data		Introduction to Econometrics, Update	Stock, James H; Watson, Mark W	2014	Pearson
Time Series Data		Introduction to Data Mining	Vipin Kumar, Pang-Ning Tan, Michael Steinback, Anuj Karpatne	2018	Pearson
Time Series Data		Python and R for the Modern Data Scientist: The Best of Both Worlds	Rick J. Scavetta, Boyan Angelov	2021	O'Reilly Media
Time series data		Hands-On Time Series Analysis With R: Perform Time Series Analysis And Forecasting Using R	Rami Krispin	2019	Packt Publishing
Time series data		Calculus BLUE Multivariable Vol 4: Fields	Robert Ghrist	2018
Time Series Data		Introduction to Econometrics, Global Edition	James H. Stock, Mark W. Watson	2020	Pearson Education Limited
Time Series Data		Introductory Econometrics: A Modern Approach	Jeffrey M. Wooldridge	2008	Cengage Learning
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries