"Refined Time Stamps for Concept Drift Detection During Mining for Classification Rules"

entries per page

Filter:

Showing 1 to 20 of 100 entries

Book	Author(s)	Year	Publisher
International Straits: Concept, Classification and Rules of Passage	Ana G. López Martín	2010	Springer Berlin Heidelberg
Particle Detection with Drift Chambers	Walter Blum; Luigi Rolandi	1993	Springer Berlin Heidelberg
Particle Detection with Drift Chambers	Walter Blum; Werner Riegler; Luigi Rolandi	2nd ed. 2008	Springer Berlin Heidelberg
Data Mining Tools for Malware Detection	Mehedy Masud; Latifur Khan; Bhavani Thuraisingham	2012	Routledge
Classification and Data Mining	Antonio Giusti; Gunter Ritter; Maurizio Vichi	2013	Springer Berlin Heidelberg
Algorithm Concept for Crash Detection in Passenger Cars	André Leschke	1st ed. 2020	Springer Fachmedien Wiesbaden
Hyperspectral Imaging: Techniques for Spectral Detection and Classification	Chein-I Chang	2003	Springer US
Radar for Indoor Monitoring: Detection, Classification, and Assessment	Moeness Amin	2017	Routledge
Action Rules Mining	Agnieszka Dardzinska	2013	Springer Berlin Heidelberg
Continental drift: the evolution of a concept	Ursula B. Marvin	1973	Smithsonian Institution Press; [distributed by G. Braziller]
EEG Brain Signal Classification for Epileptic Seizure Disorder Detection	Alok Jagadev; Sandeep Satapathy; Satchidananda Dehuri and Shruti Mishra	2019	Academic Press
Cancer campaigns, detection, rehabilitation, clinical classification	International Cancer Congress (11th 1974 Florence, Italy)	1975	Excerpta Medica;American Elsevier
Intrusion Detection: A Data Mining Approach	Nandita Sengupta; Jaya Sil	1st ed. 2020	Springer Nature Singapore
Concept of Time	R. Teichmann	1995	Palgrave Macmillan UK
Text Mining: Classification, Clustering, and Applications	Ashok N. Srivastava; Mehran Sahami	2009	Routledge
Knowledge Based Radar Detection, Tracking and Classification	Fulvio Gini; Muralidhar Rangaswamy	2008	John Wiley & Sons
Phishing Detection Using Content-Based Image Classification	Shekhar Khandelwal; Rik Das	2022	Routledge
Real-Time Collision Detection	Christer Ericson	2005	Routledge
Real-Time Collision Detection	Ericson, Ericson Christer	2004	CRC Press
Community detection and mining in social media	Lei Tang	2010	Morgan & Claypool
Boook	Author(s)	Year	Publisher

Showing 1 to 20 of 100 entries

entries per page

Filter:

Showing 1 to 20 of 100 entries

Chapter	Author(s)	Book	Book Authors	Year	Publisher
Refined Time Stamps for Concept Drift Detection During Mining for Classification Rules	Ray J. Hickey; Michaela M. Black	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
Concept drift and drift detection		Mastering Java Machine Learning	Kamath, Dr Uday	2017	Packt Publishing
65 Concept drift detection		Handbook of Big Data Analytics: Methodologies (Computing and Networks)	Vadlamani Ravi (editor), Aswani Kumar Cherukuri (editor)	2021	The Institution of Engineering and Technology
A Framework for Explainable Concept Drift Detection in Process Mining	Jan Niklas Adams; Sebastiaan J. van Zelst; Lara Quack; Kathrin Hausmann; Wil M. P. van der Aalst; Thomas Rose	Business Process Management: 19th International Conference, BPM 2021, Rome, Italy, September 06–10, 2021, Proceedings	Artem Polyvyanyy; Moe Thandar Wynn; Amy Van Looy; Manfred Reichert	1st ed. 2021	Springer International Publishing
Lift-Per-Drift: An Evaluation Metric for Classification Frameworks with Concept Drift Detection	Robert Anderson; Yun Sing Koh; Gillian Dobbie	AI 2018: Advances in Artificial Intelligence: 31st Australasian Joint Conference, Wellington, New Zealand, December 11-14, 2018, Proceedings	Tanja Mitrovic; Bing Xue; Xiaodong Li	1st ed. 2018	Springer International Publishing
Evolutionary Mining for Image Classification Rules	Jerzy Korczak; Arnaud Quirin	Artificial Evolution: 6th International Conference, Evolution Artificielle, EA 2003, Marseilles, France, October 27-30, 2003, Revised Selected Papers	Pierre Liardet; Pierre Collet; Cyril Fonlupt; Evelyne Lutton; Marc Schoenauer	2004	Springer Berlin Heidelberg
Mining Correlated Rules for Associative Classification	Jian Chen; Jian Yin; Jin Huang	Advanced Data Mining and Applications: First International Conference, ADMA 2005, Wuhan, China, July 22-24, 2005, Proceedings	Xue Li; Shuliang Wang; Zhao Yang Dong	2005	Springer Berlin Heidelberg
Automatic Classification Rules for Anomaly Detection in Time-Series	Ines Ben Kraiem; Faiza Ghozzi; Andre Peninou; Geoffrey Roman-Jimenez; Olivier Teste	Research Challenges in Information Science: 14th International Conference, RCIS 2020, Limassol, Cyprus, September 23–25, 2020, Proceedings	Fabiano Dalpiaz; Jelena Zdravkovic; Pericles Loucopoulos	1st ed. 2020	Springer International Publishing
Concept Neurons – Handling Drift Issues for Real-Time Industrial Data Mining	Luis Moreira-Matias; João Gama; João Mendes-Moreira	Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part III	Bettina Berendt; Björn Bringmann; Élisa Fromont; Gemma Garriga; Pauli Miettinen; Nikolaj Tatti; Volker Tresp	1st ed. 2016	Springer International Publishing
Handling Concept Drift in Process Mining	R. P. Jagadeesh Chandra Bose; Wil M. P. van der Aalst; Indrė Žliobaitė; Mykola Pechenizkiy	Advanced Information Systems Engineering: 23rd International Conference, CAiSE 2011, London, UK, June 20-24, 2011, Proceedings	Haralambos Mouratidis; Colette Rolland	2011	Springer Berlin Heidelberg
drift mining		Dictionary of Gems and Gemology	Mohsen Manutchehr-Danai	3rd ed. 2009	Springer Berlin Heidelberg
Fast Adaptive Real-Time Classification for Data Streams with Concept Drift	Mark Tennant; Frederic Stahl; João Bártolo Gomes	Internet and Distributed Computing Systems: 8th International Conference, IDCS 2015, Windsor, UK, September 2-4, 2015. Proceedings	Giuseppe Di Fatta; Giancarlo Fortino; Wenfeng Li; Mukaddim Pathan; Frederic Stahl; Antonio Guerrieri	1st ed. 2015	Springer International Publishing
Classification Rules + Time = Temporal Rules	Paul Cotofrei; Kilian Stoffel	Computational Science - ICCS 2002: International Conference, Amsterdam, The Netherlands, April 21-24, 2002. Proceedings, Part I	Peter M. A. Sloot; Alfons G. Hoekstra; C. J. Kenneth Tan; Jack J. Dongarra	2002	Springer Berlin Heidelberg
Mining Relational Association Rules for Propositional Classification	Annalisa Appice; Michelangelo Ceci; Donato Malerba	AI*IA 2005: Advances in Artificial Intelligence: 9th Congress of the Italian Association for Artificial Intelligence Milan, Italy, September 21-23, 2005, Proceedings	Sara Manzoni	2005	Springer Berlin Heidelberg
Adaptive Ensemble Learning with Concept Drift Detection for Intrusion Detection	Deepa Mulimani; Shashikumar G. Totad; Prakashgoud Patil; Shivananda V. Seeri	Data Engineering and Intelligent Computing: Proceedings of ICICC 2020	Vikrant Bhateja; Suresh Chandra Satapathy; Carlos M. Travieso-González; V. N. Manjunath Aradhya	1st ed. 2021	Springer Nature Singapore
Concept Drift Detection in Data Streams	Sayan Putatunda	Practical Machine Learning for Streaming Data with Python: Design, Develop, and Validate Online Learning Models	Sayan Putatunda	1st ed.	Apress
Datasets for concept drift		Adaptive Stream Mining: Pattern Learning and Mining from Evolving Data Streams	A. Bifet	2010	IOS Press
Low-Level Image Features for Stamps Detection and Classification	Paweł Forczmański; Andrzej Markiewicz	Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013	Robert Burduk; Konrad Jackowski; Marek Kurzynski; Michał Wozniak; Andrzej Zolnierek	2013	Springer International Publishing
Concept Drift	Claude Sammut; Michael Harries	Encyclopedia of Machine Learning and Data Mining	Claude Sammut; Geoffrey I. Webb	2nd ed. 2017	Springer US
Concept Drift	Claude Sammut; Michael Harries	Encyclopedia of Machine Learning	Claude Sammut; Geoffrey I. Webb	2010	Springer US
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

"Refined Time Stamps for Concept Drift Detection During Mining for Classification Rules" - similar Books and Chapters