"Improving Imputation Accuracy in Ordinal Data Using Classification"

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Book	Author(s)	Year	Publisher
Ordinal Data Modeling	Valen E. Johnson; James H. Albert	1999	Springer New York
Ensemble Methods in Data Mining: Improving Accuracy Through Combining Predictions	Giovanni Seni; John Elder		Springer International Publishing
Ensemble methods in data mining: improving accuracy through combining predictions	Giovanni Seni	2010	Morgan & Claypool Publishers
Analysis of ordinal data	David K. Hildebrand	1977	Sage Publications
Analysis of ordinal categorical data	Alan Agresti	1984	Wiley
Geographic adjustment in Medicare payment: Improving accuracy	Institute of Medicine (U.S.). Committee on Geographic Adjustment Factors in Medicare Payment	2012	National Academies Press
Flexible Imputation of Missing Data	Stef van Buuren	2018	Routledge
Flexible imputation of missing data /	Buuren, Stef van.	2012.	CRC Press,
Flexible Imputation of Missing Data	Stef van Buuren	2012	Chapman and Hall/CRC
Ordinal Methods for Behavioral Data Analysis	Norman Cliff	1996	Routledge
Making causal inferences with ordinal data	H. T. Reynolds	1971	Institute for Research in Social Science, University of North Carolina
Multiple Imputation in Practice: With Examples Using IVEware	Trivellore Raghunathan; Patricia A. Berglund; Peter W. Solenberger	2017	Routledge
Analysis of Ordinal Categorical Data, Second Edition	Alan Agresti	2010	John Wiley & Sons
Accuracy of satellite data navigation	William J. Bethke	1988
Variance approximations for assessments of classification accuracy	R.L. Czaplewski	1994
Handbook of Statistical Data Editing and Imputation	Ton de Waal	2011	John Wiley & Sons
Random effects models for nominal and ordinal data	Jonathan Seth Hartzel	1999
Terrain classification from digital elevation data using slope and curvature information	Brenda K. Goodpasture	1987
Service Productivity Management: Improving Service Performance using Data Envelopment Analysis (DEA)	H. David Sherman; Joe Zhu	2006	Springer US
Using data.		1989	Statistics Canada
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Improving Imputation Accuracy in Ordinal Data Using Classification	Shafiq Alam; Gillian Dobbie; XiaoBin Sun	Intelligent Systems Design and Applications: 16th International Conference on Intelligent Systems Design and Applications (ISDA 2016) held in Porto, Portugal, December 16-18, 2016	Ana Maria Madureira; Ajith Abraham; Dorabela Gamboa; Paulo Novais	1st ed. 2017	Springer International Publishing
Improving Classification Accuracy Using Cellular Automata	Petra Povalej; Mitja Lenič; Gregor Štiglic; Tatjana Welzer; Peter Kokol	Knowledge-Based Intelligent Information and Engineering Systems: 8th International Conference, KES 2004, Wellington, New Zealand, September 20–25, 2004, Proceedings, Part II	Mircea Gh. Negoita	2004	Springer Berlin Heidelberg
Improving classification accuracy using random forests		Scala and Spark for Big Data Analytics: Explore the concepts of functional programming, data streaming, and machine learning	Md. Rezaul Karim; Sridhar Alla	2017	Packt Publishing - ebooks Account
Improving data accuracy		Microsoft Excel 2010 complete	Pasewark and Pasewark	2011	Course Technology/Cengage Learning
Improving Classification Accuracy Using Gene Ontology Information	Ying Shen; Lin Zhang	Emerging Intelligent Computing Technology and Applications: 9th International Conference, ICIC 2013, Nanning, China, July 25-29, 2013. Proceedings	De-Shuang Huang; Phalguni Gupta; Ling Wang; Michael Gromiha	2013	Springer Berlin Heidelberg
Improving Classification Accuracy Using Gene Ontology Informati		Emerging Intelligent Computing Technology and Applications: 9th International Conference, ICIC 2013, Nanning, China, July 28-31, 2013. Proceedings	Zhifeng Hao, Jinlong Huang, Ruichu Cai, Wen Wen (auth.), De-Shuang Huang, Phalguni Gupta, Ling Wang, Michael Gromiha (eds.)	2013	Springer-Verlag Berlin Heidelberg
Classification of Ordinal Data Using Neural Networks	Joaquim Pinto da Costa; Jaime S. Cardoso	Machine Learning: ECML 2005: 16th European Conference on Machine Learning, Porto, Portugal, October 3-7, 2005, Proceedings	João Gama; Rui Camacho; Pavel Brazdil; Alípio Jorge; Luís Torgo	2005	Springer Berlin Heidelberg
An Approach for Improving Classification Accuracy Using Discretized Software Defect Data	Pooja Kapoor; Deepak Arora; Ashwani Kumar	Recent Findings in Intelligent Computing Techniques: Proceedings of the 5th ICACNI 2017, Volume 3	Pankaj Kumar Sa; Sambit Bakshi; Ioannis K. Hatzilygeroudis; Manmath Narayan Sahoo	1st ed. 2018	Springer Nature Singapore
Improving Data Loss Prevention Using Classification	Brunela Karamani	Advances in Internet, Data & Web Technologies: The 6th International Conference on Emerging Internet, Data & Web Technologies (EIDWT-2018)	Leonard Barolli; Fatos Xhafa; Nadeem Javaid; Evjola Spaho; Vladi Kolici	1st ed. 2018	Springer International Publishing
Multiple Imputation of Binary and Ordinal Data		Multiple Imputation and its Application	James R. Carpenter	2013	John Wiley & Sons
Classification Accuracy Based Microarray Missing Value Imputation	Yi Shi; Zhipeng Cai; Guohui Lin	Bioinformatics Algorithms: Techniques and Applications	Ion Măndoiu; Alexander Zelikovsky	2008	John Wiley & Sons
Improving Gender Classification Accuracy in the Wild	Modesto Castrillón-Santana; Javier Lorenzo-Navarro; Enrique Ramón-Balmaseda	Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 18th Iberoamerican Congress, CIARP 2013, Havana, Cuba, November 20-13, 2013, Proceedings, Part II	José Ruiz-Shulcloper; Gabriella Sanniti di Baja	2013	Springer Berlin Heidelberg
Improving Data Value Prediction Accuracy Using Path Correlation	Wamsi Mohan; Manoj Franklin	High Performance Computing - HiPC' 99: 6th International Conference, Calcutta, India, December 17-20, 1999 Proceedings	Prith Banerjee; Viktor K. Prasanna; Bhabani P. Sinha	1999	Springer Berlin Heidelberg
Missing Data Imputation and Its Effect on the Accuracy of Classification	Lynette A. Hunt	Data Science : Innovative Developments in Data Analysis and Clustering	Francesco Palumbo; Angela Montanari; Maurizio Vichi	1st ed. 2017	Springer International Publishing
Improving Imputation Accuracy by Inferring Causal Variants in Genetic Studies	Yue Wu; Farhad Hormozdiari; Jong Wha J. Joo; Eleazar Eskin	Research in Computational Molecular Biology: 21st Annual International Conference, RECOMB 2017, Hong Kong, China, May 3-7, 2017, Proceedings	S. Cenk Sahinalp	1st ed. 2017	Springer International Publishing
Improving Imputation Accuracy by Inferring Causal Variants in Genetic Studi		Research in Computational Molecular Biology: 21st Annual International Conference, RECOMB 2017, Hong Kong, China, May 3-7, 2017, Proceedings	S. Cenk Sahinalp (eds.)	2017	Springer International Publishing
Improving accuracy using a dictionary		Python: Real-World Data Science	Dusty Phillips, Fabrizio Romano, Phuong Vo.T.H, Martin Czygan, Robert Layton, Sebastian Raschka	2016	Packt Publishing Limited
Improving accuracy using a dictionary		Learning Data Mining with Python - Second Edition (English Edition)	Robert Layton	2017	Packt Publishing
Improving Accuracy		Tableau Prep: Up & Running: Self-Service Data Preparation for Better Analysis	Carl Allchin	2020	O'Reilly Media
Improving Accuracy		Ordinary differential equations using Matlab	John C. Polking, David Arnold	2004	Pearson
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