"Identifying Temporal Patterns for Characterization and Prediction of Financial Time Series Events"

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Book	Author(s)	Year	Publisher
Prediction and geometry of chaotic time series	Mary L. Leonardi	1997	Naval Postgraduate School;Available from National Technical Information Service
Semantic Kriging for Spatio-temporal Prediction	Shrutilipi Bhattacharjee; Soumya Kanti Ghosh; Jia Chen	1st ed. 2019	Springer Nature Singapore
Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series	Estela Bee Dagum; Pierre A. Cholette	2006	Springer New York
Foundations of time series analysis and prediction theory /	Pourahmadi, Mohsen.	[2001], ©2001.	Wiley,
Grammar-Based Feature Generation for Time-Series Prediction	Anthony Mihirana De Silva; Philip H. W. Leong	2015	Springer Nature Singapore
Neural, novel & hybrid algorithms for time series prediction /	Masters, Timothy.	[1995], ©1995.	John Wiley & Sons,
Essentials of Time Series for Financial Applications	Massimo Guidolin and Manuela Pedio	2018	Academic Press
Identifying Planetary Triggers: Astrological Techniques for Prediction	Celeste Teal	December 1, 2000	Llewellyn Publications
Analysis of financial time series /	Tsay, Ruey S.,	2005.	Wiley,
Analysis of financial time series /	Tsay, Ruey S.,	[2002], ©2002.	Wiley,
Handbook of Financial Time Series	Thomas Mikosch; Jens-Peter Kreiß; Richard A. Davis; Torben Gustav Andersen	2009	Springer Berlin Heidelberg
Handbook of Image Quality: Characterization and Prediction	Brian Keelan	2002	Routledge
Multidimensional Stationary Time Series: Dimension Reduction and Prediction	Marianna Bolla; Tamás Szabados	2021	Routledge
On some problems of estimation and prediction for non-stationary time series.	James Thomas McClave	1971
Neural representation of temporal patterns	Ellen Covey; Robert F. Port	1995	Plenum Press
Neural Representation of Temporal Patterns	Ellen Covey; Harold L. Hawkins; Robert F. Port	1995	Springer US
Earthquake Prediction and Seismicity Patterns	WYSS	1979	Birkhäuser Basel
Econometric modelling of financial time series	T. C. Mills	1995	Cambridge University Press
Nonlinear Analysis and Prediction of Time Series in Multiphase Reactors	Mingyan Liu, Zongding Hu (auth.)	2014	Springer International Publishing
Nonlinear Analysis and Prediction of Time Series in Multiphase Reactors	Mingyan Liu; Zongding Hu	2014	Springer International Publishing
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Identifying Temporal Patterns for Characterization and Prediction of Financial Time Series Events	Richard J. Povinelli	Temporal, Spatial, and Spatio-Temporal Data Mining: First International Workshop TSDM 2000 Lyon, France, September 12, 2000 Revised Papers	John F. Roddick; Kathleen Hornsby	2001	Springer Berlin Heidelberg
Identifying patterns in time series		Data Science For Dummies	Lillian Pierson	2021	For Dummies
Identifying patterns in time series		Data Science for Dummies, 2nd Edition	Lillian Pierson	2017	Wiley
Genetic Programming for Financial Time Series Prediction	Massimo Santini; Andrea Tettamanzi	Genetic Programming: 4th European Conference, EuroGP 2001 Lake Como, Italy, April 18–20, 2001 Proceedings	Julian Miller; Marco Tomassini; Pier Luca Lanzi; Conor Ryan; Andrea G. B. Tettamanzi; William B. Langdon	2001	Springer Berlin Heidelberg
Extracting Temporal Patterns from Time Series Data Bases for Prediction of Electrical Demand	J. Jesus Rico Melgoza; Juan J. Flores; Constantino Sotomane; Félix Calderón	MICAI 2004: Advances in Artificial Intelligence: Third Mexican International Conference on Artificial Intelligence, Mexico City, Mexico, April 26-30, 2004, Proceedings	Raúl Monroy; Gustavo Arroyo-Figueroa; Luis Enrique Sucar; Humberto Sossa	2004	Springer Berlin Heidelberg
N-gram Events for Analysis of Financial Time Series	Igor Borovikov; Michael Sadovsky	Proceedings of ECCS 2014: European Conference on Complex Systems	Stefano Battiston; Francesco De Pellegrini; Guido Caldarelli; Emanuela Merelli	1st ed. 2016	Springer International Publishing
Prediction of Time Series	Masanao Aoki	Notes on Economic Time Series Analysis: System Theoretic Perspectives	Masanao Aoki	1983	Springer Berlin Heidelberg
Prediction of Time Series	M. A. Sadovskii; V. F. Pisarenko	Limits of Predictability	Yurii A. Kravtsov	1993	Springer Berlin Heidelberg
Nonlinear Modelling and Prediction of Multivariate Financial Time Series	Liangyue Cao	Modelling and Forecasting Financial Data: Techniques of Nonlinear Dynamics	Abdol S. Soofi; Liangyue Cao	2002	Springer US
Time-Series Prediction	Hisashi Shimodaira	Expert Systems	Cornelius T. Leondes	2002	Academic Press
Time-Series Prediction	Timothy Masters	Practical Neural Network Recipies in C++	Timothy Masters	1993	Morgan Kaufmann
Time Series Prediction	Limao Zhang; Yue Pan; Xianguo Wu; Mirosław J. Skibniewski	Artificial Intelligence in Construction Engineering and Management	Limao Zhang; Yue Pan; Xianguo Wu; Mirosław J. Skibniewski	1st ed. 2021	Springer Nature Singapore
Time Series Prediction		Encyclopedia of Big Data Technologies	Sherif Sakr; Albert Zomaya	1st ed. 2019	Springer International Publishing
Characterization of time-series	Antonio Napolitano	Cyclostationary Processes and Time Series	Antonio Napolitano	2019	Academic Press
Financial Time Series Prediction Using Mixture of Experts	M. Serdar Yumlu; Fikret S. Gurgen; Nesrin Okay	Computer and Information Sciences -- ISCIS 2003: 18th International Symposium, Antalya, Turkey, November 3-5, 2003, Proceedings	Adnan Yazici; Cevat Sener	2003	Springer Berlin Heidelberg
Financial Time Series Prediction Using Mixture of Experts	M. Serdar Yumlu, Fikret S. Gurgen and Nesrin Okay	Computer and information sciences, ISCIS 2003: 18th International Symposium Antalya, Turkey, November 3-5, 2003: proceedings /	Yazici, Adnan,; Şener, Cevat.	2003.	Springer-Verlag,
The Multi-Agent System for Prediction of Financial Time Series	Šarūnas Raudys; Indre Zliobaite	Artificial Intelligence and Soft Computing – ICAISC 2006: 8th International Conference, Zakopane, Poland, June 25-29, 2006, Proceedings	Leszek Rutkowski; Ryszard Tadeusiewicz; Lotfi A. Zadeh; Jacek Zurada	2006	Springer Berlin Heidelberg
Time Series Chaotic Neural Oscillatory Networks for Financial Prediction	Raymond S. T. Lee	Quantum Finance: Intelligent Forecast and Trading Systems	Raymond S. T. Lee	1st ed. 2020	Springer Nature Singapore
Asymmetric dependence patterns in ﬁnancial time series	Manuel Ammann; Stephan Süss	Copulae and Multivariate Probability Distributions in Finance	Alexandra Dias; Mark Salmon; Chris Adcock	2013	Routledge
Time Series Patterns		ISE Statistical Techniques in Business and Economics (ISE HED IRWIN STATISTICS)	Douglas A. Lind, William G. Marchal, Samuel A. Wathen	2020	McGraw-Hill Education
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