Search results for "Imputation"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
160	Taghi M. Khoshgoftaar, Jason Van Hulse	Imputation techniques for multivariate missingness in software measurement data.	Softw. Qual. J.	2008	DBLP DOI BibTeX RDF	Bayesian multiple imputation, Software quality, Data quality, Missing data, Imputation
153	Per Jönsson, Claes Wohlin	Benchmarking k-nearest neighbour imputation with homogeneous Likert data.	Empir. Softw. Eng.	2006	DBLP DOI BibTeX RDF	Likert data, Missing data, Imputation, k-Nearest Neighbour
133	Alireza Farhangfar, Lukasz A. Kurgan, Witold Pedrycz	A Novel Framework for Imputation of Missing Values in Databases.	IEEE Trans. Syst. Man Cybern. Part A	2007	DBLP DOI BibTeX RDF
114	Qinbao Song, Martin J. Shepperd, Michelle Cartwright	A Short Note on Safest Default Missingness Mechanism Assumptions.	Empir. Softw. Eng.	2005	DBLP DOI BibTeX RDF	missingness mechanism, missing data, Software effort prediction, data imputation
100	Ingunn Myrtveit, Erik Stensrud, Ulf H. Olsson	Analyzing Data Sets with Missing Data: An Empirical Evaluation of Imputation Methods and Likelihood-Based Methods.	IEEE Trans. Software Eng.	2001	DBLP DOI BibTeX RDF	imputation methods, listwise deletion, mean imputation, similar response pattern imputation, full information maximum likelihood, log-log regression, ERP, cost estimation, missing data, Software effort prediction
100	Yongsong Qin, Shichao Zhang 0001, Xiaofeng Zhu 0001, Jilian Zhang, Chengqi Zhang	Semi-parametric optimization for missing data imputation.	Appl. Intell.	2007	DBLP DOI BibTeX RDF	Missing data imputation, Semi-parametric data, Missing data
93	Shichao Zhang 0001, Zhi Jin, Xiaofeng Zhu 0001	NIIA: Nonparametric Iterative Imputation Algorithm.	PRICAI	2008	DBLP DOI BibTeX RDF
93	Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken	Bayesian networks for imputation in classification problems.	J. Intell. Inf. Syst.	2007	DBLP DOI BibTeX RDF	Data mining, Bayesian networks, Missing values
93	Jason Van Hulse, Taghi M. Khoshgoftaar	Incomplete-Case Nearest Neighbor Imputation in Software Measurement Data.	IRI	2007	DBLP DOI BibTeX RDF
88	Vadim V. Ayuyev, Joseph Jupin, Philip W. Harris, Zoran Obradovic	Dynamic Clustering-Based Estimation of Missing Values in Mixed Type Data.	DaWaK	2009	DBLP DOI BibTeX RDF	clustering, classification, data pre-processing, data imputation
88	Michelle Cartwright, Martin J. Shepperd, Qinbao Song	Dealing with Missing Software Project Data.	IEEE METRICS	2003	DBLP DOI BibTeX RDF	project effort estimation, data analysis, imputation
86	Adam Pantanowitz, Tshilidzi Marwala	Evaluating the Impact of Missing Data Imputation.	ADMA	2009	DBLP DOI BibTeX RDF	sensitivity, missing data, random forest, Impact, imputation
79	Shichao Zhang 0001, Zhi Jin, Xiaofeng Zhu 0001, Jilian Zhang	Missing Data Analysis: A Kernel-Based Multi-Imputation Approach.	Trans. Comput. Sci.	2009	DBLP DOI BibTeX RDF
79	Huaxiong Li, Xianzhong Zhou, Yiyu Yao	Missing values imputation hypothesis: An experimental evaluation.	IEEE ICCI	2009	DBLP DOI BibTeX RDF
79	Bogdan Pasaniuc, Justin Kennedy, Ion I. Mandoiu	Imputation-Based Local Ancestry Inference in Admixed Populations.	ISBRA	2009	DBLP DOI BibTeX RDF
79	Qiankun Zhao, Prasenjit Mitra, Dongwon Lee 0001, Jaewoo Kang	HICCUP: Hierarchical Clustering Based Value Imputation using Heterogeneous Gene Expression Microarray Datasets.	BIBE	2007	DBLP DOI BibTeX RDF
79	Hyunsoo Kim, Gene H. Golub, Haesun Park	Imputation of Missing Values in DNA Microarray Gene Expression Data.	CSB	2004	DBLP DOI BibTeX RDF
74	Dan Li 0002, Jitender S. Deogun, William Spaulding, Bill Shuart	Dealing with Missing Data: Algorithms Based on Fuzzy Set and Rough Set Theories.	Trans. Rough Sets	2005	DBLP DOI BibTeX RDF	rough-fuzzy hybridization, rough sets, fuzzy sets, Missing data, K-means clustering, imputation
73	Xiaoyuan Su, Taghi M. Khoshgoftaar, Xingquan Zhu 0001, Russell Greiner	Imputation-boosted collaborative filtering using machine learning classifiers.	SAC	2008	DBLP DOI BibTeX RDF	imputation techniques, machine learning classifiers, recommendation systems, collaborative filtering, incomplete data
73	Bhekisipho Twala, Michelle Cartwright	Ensemble Imputation Methods for Missing Software Engineering Data.	IEEE METRICS	2005	DBLP DOI BibTeX RDF	software prediction, Machine learning, decision trees, ensemble, incomplete data, imputation
67	Semen Simkin, Tim Verwaart, Hans Vrolijk	Application of a Genetic Algorithm to Nearest Neighbour Classification.	IEA/AIE	2005	DBLP DOI BibTeX RDF
67	Pei Chen, David Suter	Recovering the Missing Components in a Large Noisy Low-Rank Matrix: Application to SFM.	IEEE Trans. Pattern Anal. Mach. Intell.	2004	DBLP DOI BibTeX RDF
66	Edson Takashi Matsubara, Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard	Missing Value Imputation Using a Semi-supervised Rank Aggregation Approach.	SBIA	2008	DBLP DOI BibTeX RDF
66	Veselka Boeva, Elena Tsiporkova	A Novel Adaptive Multiple Imputation Algorithm.	BIRD	2008	DBLP DOI BibTeX RDF
66	Xiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greiner	Using Imputation Techniques to Help Learn Accurate Classifiers.	ICTAI (1)	2008	DBLP DOI BibTeX RDF
66	Shichao Zhang 0001, Yongsong Qin, Xiaofeng Zhu 0001, Jilian Zhang, Chengqi Zhang	Optimized Parameters for Missing Data Imputation.	PRICAI	2006	DBLP DOI BibTeX RDF
66	Per Jönsson, Claes Wohlin	An Evaluation of k-Nearest Neighbour Imputation Using Likert Data.	IEEE METRICS	2004	DBLP DOI BibTeX RDF
61	Kevin Strike, Khaled El Emam, Nazim H. Madhavji	Software Cost Estimation with Incomplete Data.	IEEE Trans. Software Eng.	2001	DBLP DOI BibTeX RDF	data quality, cost modeling, missing data, Software cost estimation, imputation
59	María M. Abad-Grau, Paola Sebastiani	Multivariate Imputation of Genotype Data Using Short and Long Range Disequilibrium.	EUROCAST	2007	DBLP DOI BibTeX RDF	linkage disequilibrium, Bayesian networks, decision trees, missing data, SNPs, imputation
59	Françoise Fessant, Sophie Midenet	Self-Organising Map for Data Imputation and Correction in Surveys.	Neural Comput. Appl.	2002	DBLP DOI BibTeX RDF	Erroneous data treatment, Imputation methods, Neural networks, Surveys, Data analysis, Self-Organising Map
54	Yoram Bachrach, Reshef Meir, Michael Zuckerman, Jörg Rothe, Jeffrey S. Rosenschein	The cost of stability in weighted voting games.	AAMAS (2)	2009	DBLP BibTeX RDF	core, coalition formation, weighted voting games
54	Ingunn Myrtveit, Ulf H. Olsson, Erik Stensrud	Assessing the Benefits of Imputing ERP Projects with Missing Data.	IEEE METRICS	2001	DBLP DOI BibTeX RDF
53	Yuka Higashijima, Atsushi Yamamoto, Takayuki Nakamura, Motonori Nakamura, Masato Matsuo	Missing Data Imputation Using Regression Tree Model for Sparse Data Collected via Wide Area Ubiquitous Network.	SAINT	2010	DBLP DOI BibTeX RDF	uTupleSpace, Regression Tree Imputation, Imputation, Sparse data
52	Shichao Zhang 0001, Jilian Zhang, Xiaofeng Zhu 0001, Yongsong Qin, Chengqi Zhang	Missing Value Imputation Based on Data Clustering.	Trans. Comput. Sci.	2008	DBLP DOI BibTeX RDF
52	Jianhua Wu, Qinbao Song, Junyi Shen	An Novel Association Rule Mining Based Missing Nominal Data Imputation Method.	SNPD (3)	2007	DBLP DOI BibTeX RDF
52	Chengqi Zhang, Xiaofeng Zhu 0001, Jilian Zhang, Yongsong Qin, Shichao Zhang 0001	GBKII: An Imputation Method for Missing Values.	PAKDD	2007	DBLP DOI BibTeX RDF
52	Xiangchao Gan, Alan Wee-Chung Liew, Hong Yan 0001	Microarray Missing Data Imputation based on a Set Theoretic Framework and Biological Constraints.	ICPR (3)	2006	DBLP DOI BibTeX RDF
52	Iván Olier, Alfredo Vellido	Comparative Assessment of the Robustness of Missing Data Imputation Through Generative Topographic Mapping.	IWANN	2005	DBLP DOI BibTeX RDF
52	A. M. J. Miller, W. A. Gray, Nick J. Fiddian	Object-Oriented Knowledge Based Imputation	DEXA	1995	DBLP DOI BibTeX RDF
40	Xiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greiner	Imputed Neighborhood Based Collaborative Filtering.	Web Intelligence	2008	DBLP DOI BibTeX RDF
40	Peng Liu, Lei Lei	Missing Data Treatment Methods and NBI Model.	ISDA (1)	2006	DBLP DOI BibTeX RDF
40	Vladimir Gorodetsky, Oleg Karsaev, Vladimir Samoilov	Direct Mining of Rules from Data with Missing Values.	Foundations of Data Mining and knowledge Discovery	2005	DBLP DOI BibTeX RDF
40	Enrico Franconi, Antonio Laureti Palma, Nicola Leone, Simona Perri, Francesco Scarcello	Census Data Repair: a Challenging Application of Disjunctive Logic Programming.	LPAR	2001	DBLP DOI BibTeX RDF
39	Yu Gu 0002, Ge Yu 0001, Yueguo Chen, Beng Chin Ooi	Efficient RFID Data Imputation by Analyzing the Correlations of Monitored Objects.	DASFAA	2009	DBLP DOI BibTeX RDF
39	Ana S. Fernandes, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Elia Biganzoli, Chris Bajdik, Paulo J. G. Lisboa	Missing Data Imputation in Longitudinal Cohort Studies: Application of PLANN-ARD in Breast Cancer Survival.	ICMLA	2008	DBLP DOI BibTeX RDF
39	Mary M. Randolph-Gips	A New Neural Network to Process Missing Data without Imputation.	ICMLA	2008	DBLP DOI BibTeX RDF
39	YuanYuan Li, Lynne E. Parker	A spatial-temporal imputation technique for classification with missing data in a wireless sensor network.	IROS	2008	DBLP DOI BibTeX RDF
39	Muhammad Shoaib B. Sehgal, Iqbal Gondal, Laurence S. Dooley, Ross L. Coppel	Heuristic Non Parametric Collateral Missing Value Imputation: A Step Towards Robust Post-genomic Knowledge Discovery.	PRIB	2008	DBLP DOI BibTeX RDF
39	Nan Jiang	A Data Imputation Model in Sensor Databases.	HPCC	2007	DBLP DOI BibTeX RDF
39	Taegyun Yun, Suyoung Kim, Taeho Hwang, Gwan-Su Yi	A Direct Clustering Method for Imperfect Microarray Data without Imputation.	FBIT	2007	DBLP DOI BibTeX RDF
39	Marco Di Zio, Ugo Guarnera	On Multiple Imputation Through Finite Gaussian Mixture Models.	GfKl	2007	DBLP DOI BibTeX RDF
39	Geetha Jagannathan, Rebecca N. Wright	Privacy-Preserving Data Imputation.	ICDM Workshops	2006	DBLP DOI BibTeX RDF
39	Muhammad Shoaib B. Sehgal, Iqbal Gondal, Laurence Dooley	Missing Value Imputation Framework for Microarray Significant Gene Selection and Class Prediction.	BioDM	2006	DBLP DOI BibTeX RDF
39	Eduardo R. Hruschka, Estevam R. Hruschka Jr., Nelson F. F. Ebecken	Missing Values Imputation for a Clustering Genetic Algorithm.	ICNC (3)	2005	DBLP DOI BibTeX RDF
39	Antonio J. T. Garcia, Eduardo R. Hruschka	Naive Bayes as an Imputation Tool for Classification Problems.	HIS	2005	DBLP DOI BibTeX RDF
39	Dan Li 0002, Jitender S. Deogun, William Spaulding, Bill Shuart	Towards Missing Data Imputation: A Study of Fuzzy K-means Clustering Method.	Rough Sets and Current Trends in Computing	2004	DBLP DOI BibTeX RDF
39	Yu Luo, Limin Du	Single Gauss model set-based data imputation method for complex ASR task.	ISCAS (2)	2003	DBLP DOI BibTeX RDF
36	Shichao Zhang 0001	Parimputation: From Imputation and Null-Imputation to Partially Imputation.	IEEE Intell. Informatics Bull.	2008	DBLP BibTeX RDF
34	Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato	Automatic Model Selection by Cross-Validation for Probabilistic PCA.	Neural Process. Lett.	2009	DBLP DOI BibTeX RDF	Missing value imputation, Simulated annealing, Dimensionality reduction, Cross-validation, Probabilistic principal components analysis (PPCA), Probability density estimation
34	John Moses, Malcolm Farrow	Tests for consistent measurement of external subjective software quality attributes.	Empir. Softw. Eng.	2008	DBLP DOI BibTeX RDF	Subjective software quality attributes, Distribution principle, Minimum rejection principle, Bayesian inference, Error rates, Conditional probability, Multinomial distribution, Data imputation, Consistent measurement
34	Brian Eriksson, Paul Barford, Robert D. Nowak, Mark Crovella	Learning network structure from passive measurements.	Internet Measurement Conference	2007	DBLP DOI BibTeX RDF	measurement, topology, embedding, inference, imputation
34	W. Eric Wong, Jin Zhao, Victor K. Y. Chan	Applying statistical methodology to optimize and simplify software metric models with missing data.	SAC	2006	DBLP DOI BibTeX RDF	imputation method, model optimization, models, software metrics, missing data, model simplification
34	Robin Mitra, Jerome P. Reiter	Adjusting Survey Weights When Altering Identifying Design Variables Via Synthetic Data.	Privacy in Statistical Databases	2006	DBLP DOI BibTeX RDF	Multiple imputation, Weights, Disclosure, Swapping, Synthetic data
32	Roy Kwang Yang Chang, Chu Kiong Loo, M. V. C. Rao	Enhanced probabilistic neural network with data imputation capabilities for machine-fault classification.	Neural Comput. Appl.	2009	DBLP DOI BibTeX RDF	Global k-means, Probabilistic neural network, Fault classification, Data imputation
32	Weiwei Xia, Liang He 0001, Junzhong Gu, Keqin He	Effective Collaborative Filtering Approaches Based on Missing Data Imputation.	NCM	2009	DBLP DOI BibTeX RDF	rating data imputation, sparsity problem, recommender system, collaborative filtering
32	Sumanth Yenduri	An Agglomerative Clustering Methodology For Data Imputation.	ITNG	2006	DBLP DOI BibTeX RDF	Software Project Data Sets, Clustering Algorithms, Effort Prediction, Data Imputation
27	Bonnie Kirkpatrick, Javier Rosa, Eran Halperin, Richard M. Karp	Haplotype Inference in Complex Pedigrees.	RECOMB	2009	DBLP DOI BibTeX RDF
27	Yang Zhang, Yuncai Liu	Missing traffic flow data prediction using least squares support vector machines in urban arterial streets.	CIDM	2009	DBLP DOI BibTeX RDF
27	Jonathan de Andrade Silva, Eduardo R. Hruschka	An Evolutionary Algorithm for Missing Values Substitution in Classification Tasks.	HAIS	2009	DBLP DOI BibTeX RDF	Clustering, Classification, Bioinformatics, Missing Values
27	Jilles Vreeken, Arno Siebes	Filling in the Blanks - Krimp Minimisation for Missing Data.	ICDM	2008	DBLP DOI BibTeX RDF
27	Pasi Koikkalainen, Ismo Horppu	Handling Missing Data with the Tree-Structured Self-Organizing Map.	IJCNN	2007	DBLP DOI BibTeX RDF
27	Xuejun Liao, Hui Li 0068, Lawrence Carin	Quadratically gated mixture of experts for incomplete data classification.	ICML	2007	DBLP DOI BibTeX RDF
27	Ohm Sornil, Sunatashee Poonvutthikul	Constructing Bayesian Networks from Association Analysis.	PRICAI	2006	DBLP DOI BibTeX RDF
27	Hongjun Jia, Jeff Fortuna, Aleix M. Martínez	Perturbation Estimation of the Subspaces for Structure from Motion with Noisy and Missing Data.	3DPVT	2006	DBLP DOI BibTeX RDF
27	Bhekisipho Twala, Michelle Cartwright, Martin J. Shepperd	Comparison of various methods for handling incomplete data in software engineering databases.	ISESE	2005	DBLP DOI BibTeX RDF
27	David Williams, Xuejun Liao, Ya Xue, Lawrence Carin	Incomplete-data classification using logistic regression.	ICML	2005	DBLP DOI BibTeX RDF
27	Muhammad Shoaib B. Sehgal, Iqbal Gondal, Laurence Dooley	Collateral Missing Value Estimation: Robust Missing Value Estimation for Consequent Microarray Data Processing.	Australian Conference on Artificial Intelligence	2005	DBLP DOI BibTeX RDF
27	Muhammad Shoaib B. Sehgal, Iqbal Gondal, Laurence Dooley	K-Ranked Covariance Based Missing Values Estimation for Microarray Data Classification.	HIS	2004	DBLP DOI BibTeX RDF
27	Karin Sahmer, Evelyne Vigneau, Mostafa El Qannari, Joachim Kunert	Clustering of Variables with Missing Data: Application to Preference Studies.	GfKl	2004	DBLP DOI BibTeX RDF
27	Qizhi Fang, Shanfeng Zhu, Mao-cheng Cai, Xiaotie Deng	Membership for Core of LP Games and Other Games.	COCOON	2001	DBLP DOI BibTeX RDF	linear programming, NP-completeness, network flow, Steiner tree, core, cooperative game
25		Multiple Imputation.	Encyclopedia of Database Systems	2009	DBLP DOI BibTeX RDF
25		Data Imputation.	Encyclopedia of Database Systems	2009	DBLP DOI BibTeX RDF
25	Hyun Min Kang, Noah Zaitlen, Buhm Han, Eleazar Eskin	An Adaptive and Memory Efficient Algorithm for Genotype Imputation.	RECOMB	2009	DBLP DOI BibTeX RDF
25	Antti Sorjamaa, Francesco Corona, Yoan Miche, Paul Merlin, Bertrand Maillet, Eric Séverin, Amaury Lendasse	Sparse Linear Combination of SOMs for Data Imputation: Application to Financial Database.	WSOM	2009	DBLP DOI BibTeX RDF
25	Muhammad Shoaib B. Sehgal, Iqbal Gondal, Laurence Dooley	Gene Expression Imputation Techniques for Robust Post Genomic Knowledge Discovery.	Computational Intelligence in Medical Informatics	2008	DBLP DOI BibTeX RDF	Microarray Gene Expression Data, Missing Values Estimaiton, Post Genomic Knowledge Discovery
25	Jianhua Wu, Qinbao Song, Junyi Shen	Missing nominal data imputation using association rule based on weighted voting method.	IJCNN	2008	DBLP DOI BibTeX RDF
25	Pedro G. de Oliveira, André L. V. Coelho	Genetic Versus Nearest-Neighbor Imputation of Missing Attribute Values for RBF Networks.	ICONIP (2)	2008	DBLP DOI BibTeX RDF
25	Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, Takafumi Yagi	Fuzzy c-Means Classifier with Deterministic Initialization and Missing Value Imputation.	FOCI	2007	DBLP DOI BibTeX RDF
25	Antonio D'Ambrosio, Massimo Aria, Roberta Siciliano	Robust Tree-Based Incremental Imputation Method for Data Fusion.	IDA	2007	DBLP DOI BibTeX RDF
25	Daqian Gu, Yang Gao 0001	Incremental gradient descent imputation method for missing data in learning classifier systems.	GECCO Workshops	2005	DBLP DOI BibTeX RDF	InGrImputation method, missing data, LCS
25	Eduardo R. Hruschka, Estevam R. Hruschka Jr., Nelson F. F. Ebecken	Towards Efficient Imputation by Nearest-Neighbors: A Clustering-Based Approach.	Australian Conference on Artificial Intelligence	2004	DBLP DOI BibTeX RDF
24	Weibin Liao, Yinghao Zhu, Zixiang Wang, Xu Chu, Yasha Wang, Liantao Ma	Learnable Prompt as Pseudo-Imputation: Reassessing the Necessity of Traditional EHR Data Imputation in Downstream Clinical Prediction.	CoRR	2024	DBLP DOI BibTeX RDF
24	Haozhe Li, Yilin Liao, Zijian Tian, Zhaoran Liu, Jiaqi Liu, Xinggao Liu	Bidirectional Stackable Recurrent Generative Adversarial Imputation Network for Specific Emitter Missing Data Imputation.	IEEE Trans. Inf. Forensics Secur.	2024	DBLP DOI BibTeX RDF
24	Hongsen Ou, Yunan Yao, Yi He	Missing Data Imputation Method Combining Random Forest and Generative Adversarial Imputation Network.	Sensors	2024	DBLP DOI BibTeX RDF
24	Yuqing Zhang, Runtong Zhang, Butian Zhao	A systematic review of generative adversarial imputation network in missing data imputation.	Neural Comput. Appl.	2023	DBLP DOI BibTeX RDF
24	Thu Nguyen, Pål Halvorsen, Michael A. Riegler	Imputation using training labels and classification via label imputation.	CoRR	2023	DBLP DOI BibTeX RDF
24	Benjamin D. Leiby, Darryl K. Ahner	Multicollinearity applied stepwise stochastic imputation: a large dataset imputation through correlation-based regression.	J. Big Data	2023	DBLP DOI BibTeX RDF
24	Jinsheng Yang, Yuan-Hai Shao 0001, Chunna Li, Wensi Wang	A multistage deep imputation framework for missing values large segment imputation with statistical metrics.	Appl. Soft Comput.	2023	DBLP DOI BibTeX RDF
24	Amrita Chattopadhyay, Chien-Yueh Lee, Ying-Cheng Shen, Kuan-Chen Lu, Tzu-Hung Hsiao, Ching-Heng Lin, Liang-Chuan Lai, Mong-Hsun Tsai, Tzu-Pin Lu, Eric Y. Chuang	Multi-ethnic Imputation System (MI-System): A genotype imputation server for high-dimensional data.	J. Biomed. Informatics	2023	DBLP DOI BibTeX RDF
24	Heru Nugroho, Nugraha Priya Utama, Kridanto Surendro	kNN Imputation Versus Mean Imputation for Handling Missing Data on Vulnerability Index in Dealing with Covid-19 in Indonesia.	ICSCA	2023	DBLP DOI BibTeX RDF