"Detecting Temporal Change in Event Sequences: An Application to Demographic Data"

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Book	Author(s)	Year	Publisher
Model-Checking Based Data Retrieval: An Application to Semistructured and Temporal Data	Elisa Quintarelli	2004	Springer Berlin Heidelberg
Temporal data,temporal data models,temporal data languages and temporal database systems	Donald Dokeung Hom	1988
Temporal Data Mining	Theophano Mitsa	2010	Routledge
Temporal and spatio-temporal data mining	Wynne Hsu; Wynne Hsu; Mong Li Lee; Junmei Wang	2008	Idea Group Pub.
Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading	Jun Chen; Edward P K Tsang	2020	Routledge
Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence	Judith D. Singer; John B. Willett	2003	Oxford University Press
Demographic transition theory reinterpreted: an application to recent natality trends in Latin America	Steven E. Beaver	1975	Lexington Books
Modeling Discrete Time-to-Event Data	Gerhard Tutz; Matthias Schmid	1st ed. 2016	Springer International Publishing
Spatio-Temporal Data Streams	Zdravko Galić	1st ed. 2016	Springer New York
Economic and demographic change in Africa /	Mafeje, Archie.; Raḍwān, Samīr Muḥammad.	1995.	Oxford University Press,
Demographic change in Sub-Saharan Africa /	Foote, Karen A.; Hill, Ken,; Martin, Linda G.,	1993.	National Academy Press,
Immigrants, Evangelicals, and Politics in an Era of Demographic Change	Janelle S. Wong	2018	Russell Sage Foundation
Demographic change and the Canadian economy: an overview	Shirley B. Seward	1987	Institute for Research on Public Policy, Studies in Social Policy
The Economic Impact of Demographic Change in Thailand, 1980-2015: An Application of the Homes Household Forecasting Model	Burnham O. Campbell; Andrew Mason	September 1993	East-West Center
A sound approach to teaching instrumentalists: an application of content and learning sequences	Stanley L. Schleuter	1984	Kent State University Press
Aging and Demographic Change in Canadian Context	David Cheal	2003	University of Toronto Press
Aging and demographic change in Canadian context /	Cheal, David J.	[2002], ©2002.	University of Toronto Press,
Social change in Europe. : Some demographic consequences.	B. W. Frijling	1973	Brill
Detecting and Modelling Regional Climate Change	Manola Brunet India; Diego Lopez Bonillo	2001	Springer Berlin Heidelberg
Spatio-Temporal Graph Data Analytics	Venkata M. V. Gunturi; Shashi Shekhar	1st ed. 2017	Springer International Publishing
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Detecting Temporal Change in Event Sequences: An Application to Demographic Data	H. Blockeel; J. Fürnkranz; A. Prskawetz; F. C. Billari	Principles of Data Mining and Knowledge Discovery: 5th European Conference, PKDD 2001, Freiburg, Germany, September 3-5, 2001 Proceedings	Luc de Raedt; Arno Siebes	2001	Springer Berlin Heidelberg
Detecting Change in Snapshot Sequences	Mingzheng Shi; Stephan Winter	Geographic Information Science: 6th International Conference, GIScience 2010, Zurich, Switzerland, September 14-17, 2010. Proceedings	Sara Irina Fabrikant; Tumasch Reichenbacher; Marc van Kreveld; Christoph Schlieder	2010	Springer Berlin Heidelberg
Detecting Statistically Significant Temporal Associations from Multiple Event Sequences	Han Liang; Jörg Sander	Advances in Artificial Intelligence: 26th Canadian Conference on Artificial Intelligence, Canadian AI 2013, Regina, Canada, May 28-31, 2013. Proceedings	Osmar Zaiane; Sandra Zilles	2013	Springer Berlin Heidelberg
Application to Categorical Temporal Change	Robert Gilmore Pontius Jr	Metrics That Make a Difference: How to Analyze Change and Error	Robert Gilmore Pontius Jr	1st ed. 2022	Springer International Publishing
Application to Interval Temporal Change	Robert Gilmore Pontius Jr	Metrics That Make a Difference: How to Analyze Change and Error	Robert Gilmore Pontius Jr	1st ed. 2022	Springer International Publishing
Detecting Ontology Change from Application Data Flows	Paolo Ceravolo; Ernesto Damiani	On the Move to Meaningful Internet Systems 2005: OTM 2005 Workshops: OTM Confederated International Workshops and Posters, AWeSOMe, CAMS, GADA. MIOS+INTEROP, ORM, PhDS, SeBGIS. SWWS. and WOSE 2005, Agia Napa, Cyprus, October 31 - November 4, 2005, Proceedings	Zahir Tari	2005	Springer Berlin Heidelberg
Detecting Zones of Abrupt Change: Application to Soil Data	E. Gabriel; D. Allard; J. N. Bacro	geoENV IV — Geostatistics for Environmental Applications: Proceedings of the Fourth European Conference on Geostatistics for Environmental Applications held in Barcelona, Spain, November 27–29, 2002	Xavier Sanchez-Vila; Jesus Carrera; Jaime Gómez-Hernández	2004	Springer Netherlands
MAF: A Method for Detecting Temporal Associations from Multiple Event Sequences	Han Liang	Data Warehousing and Knowledge Discovery: 15th International Conference, DaWaK 2013, Prague, Czech Republic, August 26-29, 2013, Proceedings	Ladjel Bellatreche; Mukesh K. Mohania	2013	Springer Berlin Heidelberg
Finding Event-Oriented Patterns in Long Temporal Sequences	Xingzhi Sun; Maria E. Orlowska; Xiaofang Zhou	Advances in Knowledge Discovery and Data Mining: 7th Pacific-Asia Conference, PAKDD 2003. Seoul, Korea, April 30 - May 2, 2003, Proceedings	Kyu-Young Whang; Jongwoo Jeon; Kyuseok Shim; Jaideep Srivatava	2003	Springer Berlin Heidelberg
StreamKrimp: Detecting Change in Data Streams	Matthijs van Leeuwen; Arno Siebes	Machine Learning and Knowledge Discovery in Databases: European Conference, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part I	Walter Daelemans; Katharina Morik	2008	Springer Berlin Heidelberg
Similarity Matching of Temporal Event-Interval Sequences	S. Mohammad Mirbagheri; Howard J. Hamilton	Advances in Artificial Intelligence: 33rd Canadian Conference on Artificial Intelligence, Canadian AI 2020, Ottawa, ON, Canada, May 13–15, 2020, Proceedings	Cyril Goutte; Xiaodan Zhu	1st ed. 2020	Springer International Publishing
Passing data to an event		jQuery Essentials	Troy Miles	2016	Packt Publishing
Passing data to an event		jQuery essentials: optimize and implement the features of jQuery to build and maintain your websites with minimum hassle /	Miles, Troy,
Finding Negative Event-Oriented Patterns in Long Temporal Sequences	Xingzhi Sun; Maria E. Orlowska; Xue Li	Advances in Knowledge Discovery and Data Mining: 8th Pacific-Asia Conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004, Proceedings	Honghua Dai; Ramakrishnan Srikant; Chengqi Zhang	2004	Springer Berlin Heidelberg
Efficiently Detecting Light Events in Astronomical Temporal Data	Chenglong Fang; Xieyang Wang; Jianqiu Xu; Feng Wang	Spatial Data and Intelligence: First International Conference, SpatialDI 2020, Virtual Event, May 8–9, 2020, Proceedings	Xiaofeng Meng; Xing Xie; Yang Yue; Zhiming Ding	1st ed. 2021	Springer International Publishing
Firing an application event		Learning Salesforce Lightning Application Development	Mohith Shrivastava	0	Packt Publishing
Event in Temporal Databases	Christian S. Jensen; Richard T. Snodgrass	Encyclopedia of Database Systems	Ling Liu; M. Tamer Özsu	2009	Springer US
Event in Temporal Databases	Richard T. Snodgrass	Encyclopedia of Database Systems	Ling Liu; M. Tamer Özsu	2nd ed. 2018	Springer New York
Event in Temporal Databases	Richard T. Snodgrass	Encyclopedia of Database Systems	Ling Liu; M. Tamer Özsu	0th ed. 2020	Springer New York
2: Change An Event		The 42 Letter Name of God	Kadmon Baal	0
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