"Dealing with Missing Data: Algorithms Based on Fuzzy Set and Rough Set Theories"

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Book	Author(s)	Year	Publisher
Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods	Sarah Vluymans	1st ed. 2019	Springer International Publishing
Uncertainty Data in Interval-Valued Fuzzy Set Theory: Properties, Algorithms and Applications	Barbara Pękala	1st ed. 2019	Springer International Publishing
Data Mining: Theories, Algorithms, and Examples	Nong Ye	2014	Routledge
Rough Set–Based Classification Systems	Robert K. Nowicki	1st ed. 2019	Springer International Publishing
Dealing with Data	Arthur J. Lyon and W. Ashhurst	1970	Pergamon
Dealing with data and chance	Judith S. Zawojewski	1991	National Council of Teachers of Mathematics
Transactions on Rough Sets II: Rough Sets and Fuzzy Sets	James F. Peters; Didier Dubois; Jerzy Grzymala-Busse; Masahiro Inuiguchi; Lech Polkowski	2005	Springer Berlin Heidelberg
Fuzzy Logic-Based Algorithms for Video De-Interlacing	Piedad Brox; Iluminada Baturone Castillo; Santiago Sánchez Solano	2010	Springer Berlin Heidelberg
Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration	Earl Cox	2005	Morgan Kaufmann
Graph-Based Clustering and Data Visualization Algorithms	Ágnes Vathy-Fogarassy; János Abonyi	2013	Springer London
Decision Making Theories and Methods Based on Interval-Valued Intuitionistic Fuzzy Sets	Shuping Wan; Jiuying Dong	1st ed. 2020	Springer Nature Singapore
Handling Missing Data in Ranked Set Sampling	Carlos N. Bouza-Herrera	2013	Springer Berlin Heidelberg
Fuzzy Set and Its Extension: The Intuitionistic Fuzzy Set	Tamalika Chaira	2019	Wiley Telecom
Disk-Based Algorithms for Big Data	Christopher Healey	2016	Routledge
Hands-On Data Structures and Algorithms with Rust	Claus Matzinger	2018	Packt Publishing
Hands-On Data Structures and Algorithms with Rust	Claus Matzinger	2019	Packt Publishing Ltd.
Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design	Anne Laurent, Marie-Jeanne Lesot	2009	IGI Global Snippet
Organizing data and dealing with uncertainty.	National Council of Teachers of Mathematics.	1979	National Council of Teachers of Mathematics
The Indirect Estimation of Migration: Methods for Dealing with Irregular, Inadequate, and Missing Data	Andrei Rogers, James Raymer, Jani Little (auth.)	2010	Springer Netherlands
The Indirect Estimation of Migration: Methods for Dealing with Irregular, Inadequate, and Missing Data	Andrei Rogers; James Raymer; Jani Little	2010	Springer Netherlands
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Dealing with Missing Data: Algorithms Based on Fuzzy Set and Rough Set Theories	Dan Li; Jitender Deogun; William Spaulding; Bill Shuart	Transactions on Rough Sets IV	James F. Peters	2005	Springer Berlin Heidelberg
Fuzzy Rough Set Decision Algorithms	Fernando Chacón-Gómez; Maria Eugenia Cornejo; Jesús Medina; Eloísa Ramírez-Poussa	Information Processing and Management of Uncertainty in Knowledge-Based Systems: 19th International Conference, IPMU 2022, Milan, Italy, July 11–15, 2022, Proceedings, Part I	Davide Ciucci; Inés Couso; Jesús Medina; Dominik Ślęzak; Davide Petturiti; Bernadette Bouchon-Meunier; Ronald R. Yager	1st ed. 2022	Springer International Publishing
Fuzzy Model Identification Based on Rough Set Data Analysis		Fuzzy Modeling and Fuzzy Control	Huaguang Zhang; Derong Liu	2006	Birkhäuser Boston
Fuzzy Rough Set Based on Dominance Relations	Zhang Xiaoyan; Xu Weihua	Recent Advances in Computer Science and Information Engineering: Volume 2	Zhihong Qian; Lei Cao; Weilian Su; Tingkai Wang; Huamin Yang	2012	Springer Berlin Heidelberg
Dealing with missing data		Artificial Intelligence For Dummies (For Dummies (Computer/Tech))	John Paul Mueller, Luca Massaron	2021	For Dummies
Dealing with missing data		Python: Real World Machine Learning	Prateek Joshi; Luca Massaron; John Hearty	2017	Packt Publishing
Dealing with Missing Data		Python for data science	John Mueller; Luca Massaron	2019	John Wiley & Sons
Dealing with missing data		Healthcare analytics made simple: techniques in healthcare computing using machine learning and Python	Kumar, Vikas	2018	Packt Publishing
Dealing with Missing Data		Machine Learning with SAS Viya	SAS Institute Inc.	2020	SAS Institute
Dealing with missing data		Python Machine Learning Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2	by Sebastian Raschka (Author), Vahid Mirjalili (Author)	2019	Packt
Dealing with missing data		Python Machine Learning - Second Edition	Raschka, Sebastian; Mirjalili, Vahid	2017	Packt Publishing
Dealing with missing data		Python: deeper insights into machine learning: leverage benefits of machine learning techniques using Python: a course in three modules	Raschka, Sebastian; Julian, David; Hearty, John	2016	Packt Publishing
Dealing with Missing Data		Programming Collective Intelligence: Building Smart Web 2. 0 Applications	Toby Segaran	2007	O'Reilly Media
Dealing with missing data		MACHINE LEARNING WITH PYTORCH AND SCIKIT-LEARN: develop machine learning and deep learning. . . models with scikit-learn and pytorch.	SEBASTIAN LIU YUXI (HAYDEN) MIRJALILI VAHID RASCHKA	2022	PACKT PUBLISHING LIMITED
Dealing with Missing Data		CODING ALL-IN-ONE FOR DUMMIES	DUMMIES.	2022	JOHN WILEY
Dealing with Missing Data		Python for Data Science for Dummies	Zanab Hussain	2015	For Dummies
Dealing with Missing Data		Python for Data Science for Dummies	John Paul Mueller; Luca Massaron	2019	For Dummies
Dealing with missing data		Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition	Raschka, Sebastian; Mirjalili, Vahid	2019	Packt Publishing
Dealing with missing data		Python: Real-World Data Science	Dusty Phillips, Fabrizio Romano, Phuong Vo.T.H, Martin Czygan, Robert Layton, Sebastian Raschka	2016	Packt Publishing Limited
Dealing with missing data		Medical Statistics From Scratch: An Introduction For Health Professionals	David Bowers	2020	Blackwell/John Wiley and Sons
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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