Articoli di riviste sul tema "Missing Value Imputation"
Cita una fonte nei formati APA, MLA, Chicago, Harvard e in molti altri stili
Vedi i top-50 articoli di riviste per l'attività di ricerca sul tema "Missing Value Imputation".
Accanto a ogni fonte nell'elenco di riferimenti c'è un pulsante "Aggiungi alla bibliografia". Premilo e genereremo automaticamente la citazione bibliografica dell'opera scelta nello stile citazionale di cui hai bisogno: APA, MLA, Harvard, Chicago, Vancouver ecc.
Puoi anche scaricare il testo completo della pubblicazione scientifica nel formato .pdf e leggere online l'abstract (il sommario) dell'opera se è presente nei metadati.
Vedi gli articoli di riviste di molte aree scientifiche e compila una bibliografia corretta.
Zhao, Yuxuan, Eric Landgrebe, Eliot Shekhtman e Madeleine Udell. "Online Missing Value Imputation and Change Point Detection with the Gaussian Copula". Proceedings of the AAAI Conference on Artificial Intelligence 36, n. 8 (28 giugno 2022): 9199–207. http://dx.doi.org/10.1609/aaai.v36i8.20906.
Testo completoLu, Kaifeng. "Number of imputations needed to stabilize estimated treatment difference in longitudinal data analysis". Statistical Methods in Medical Research 26, n. 2 (10 ottobre 2014): 674–90. http://dx.doi.org/10.1177/0962280214554439.
Testo completoHameed, Wafaa Mustafa, e Nzar A. Ali. "Missing value imputation Techniques: A Survey". UHD Journal of Science and Technology 7, n. 1 (28 marzo 2023): 72–81. http://dx.doi.org/10.21928/uhdjst.v7n1y2023.pp72-81.
Testo completoDas, Dipalika, Maya Nayak e Subhendu Kumar Pani. "Missing Value Imputation-A Review". International Journal of Computer Sciences and Engineering 7, n. 4 (30 aprile 2019): 548–58. http://dx.doi.org/10.26438/ijcse/v7i4.548558.
Testo completoSeu, Kimseth, Mi-Sun Kang e HwaMin Lee. "An Intelligent Missing Data Imputation Techniques: A Review". JOIV : International Journal on Informatics Visualization 6, n. 1-2 (31 maggio 2022): 278. http://dx.doi.org/10.30630/joiv.6.1-2.935.
Testo completoHuang, Min-Wei, Wei-Chao Lin e Chih-Fong Tsai. "Outlier Removal in Model-Based Missing Value Imputation for Medical Datasets". Journal of Healthcare Engineering 2018 (2018): 1–9. http://dx.doi.org/10.1155/2018/1817479.
Testo completoKumar, Nishith, Md Aminul Hoque, Md Shahjaman, S. M. Shahinul Islam e Md Nurul Haque Mollah. "A New Approach of Outlier-robust Missing Value Imputation for Metabolomics Data Analysis". Current Bioinformatics 14, n. 1 (6 dicembre 2018): 43–52. http://dx.doi.org/10.2174/1574893612666171121154655.
Testo completoZimmermann, Pavel, Petr Mazouch e Klára Hulíková Tesárková. "Missing Categorical Data Imputation and Individual Observation Level Imputation". Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 62, n. 6 (2014): 1527–34. http://dx.doi.org/10.11118/actaun201462061527.
Testo completoH.Mohamed, Marghny, Abdel-Rahiem A. Hashem e Mohammed M. Abdelsamea. "Scalable Algorithms for Missing Value Imputation". International Journal of Computer Applications 87, n. 11 (14 febbraio 2014): 35–42. http://dx.doi.org/10.5120/15255-4019.
Testo completoGashler, Michael S, Michael R Smith, Richard Morris e Tony Martinez. "Missing Value Imputation with Unsupervised Backpropagation". Computational Intelligence 32, n. 2 (1 luglio 2014): 196–215. http://dx.doi.org/10.1111/coin.12048.
Testo completoH. Mohamed, Marghny. "Scalable Algorithms for Missing Value Imputation". International Journal of Computer Applications 28, n. 11 (31 agosto 2011): 1–7. http://dx.doi.org/10.5120/3431-4669.
Testo completoYan, Xiaobo, Weiqing Xiong, Liang Hu, Feng Wang e Kuo Zhao. "Missing Value Imputation Based on Gaussian Mixture Model for the Internet of Things". Mathematical Problems in Engineering 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/548605.
Testo completoChoi, Yoon-Young, Heeseung Shon, Young-Ji Byon, Dong-Kyu Kim e Seungmo Kang. "Enhanced Application of Principal Component Analysis in Machine Learning for Imputation of Missing Traffic Data". Applied Sciences 9, n. 10 (26 maggio 2019): 2149. http://dx.doi.org/10.3390/app9102149.
Testo completoLin, Yiming, e Sharad Mehrotra. "ZIP: Lazy Imputation during Query Processing". Proceedings of the VLDB Endowment 17, n. 1 (settembre 2023): 28–40. http://dx.doi.org/10.14778/3617838.3617841.
Testo completoGardner, Miranda L., e Michael A. Freitas. "Multiple Imputation Approaches Applied to the Missing Value Problem in Bottom-Up Proteomics". International Journal of Molecular Sciences 22, n. 17 (6 settembre 2021): 9650. http://dx.doi.org/10.3390/ijms22179650.
Testo completoRaja Kumaran, Shamini, Mohd Shahizan Othman e Lizawati Mi Yusuf. "ESTIMATION OF MISSING VALUES USING OPTIMISED HYBRID FUZZY C-MEANS AND MAJORITY VOTE FOR MICROARRAY DATA". Journal of Information and Communication Technology 19, Number 4 (20 agosto 2020): 459–82. http://dx.doi.org/10.32890/jict2020.19.4.1.
Testo completoTada, Mayu, Natsumi Suzuki e Yoshifumi Okada. "Missing Value Imputation Method for Multiclass Matrix Data Based on Closed Itemset". Entropy 24, n. 2 (16 febbraio 2022): 286. http://dx.doi.org/10.3390/e24020286.
Testo completoPettersson, Nicklas. "Bias reduction of finite population imputation by kernel methods". Statistics in Transition new series 14, n. 1 (4 marzo 2013): 139–60. http://dx.doi.org/10.59170/stattrans-2013-009.
Testo completoHameed, Wafaa Mustafa, e Nzar A. Ali. "Comparison of Seventeen Missing Value Imputation Techniques". Journal of Hunan University Natural Sciences 49, n. 7 (30 luglio 2022): 26–36. http://dx.doi.org/10.55463/issn.1674-2974.49.7.4.
Testo completoSalem, Awsan, Nurul Akmar Emran, Azah Kamilah Muda, Zahriah Sahri e Abdulrazzak Ali. "Missing values imputation in Arabic datasets using enhanced robust association rules". Indonesian Journal of Electrical Engineering and Computer Science 28, n. 2 (1 novembre 2022): 1067. http://dx.doi.org/10.11591/ijeecs.v28.i2.pp1067-1075.
Testo completoFouad, Khaled M., Mahmoud M. Ismail, Ahmad Taher Azar e Mona M. Arafa. "Advanced methods for missing values imputation based on similarity learning". PeerJ Computer Science 7 (21 luglio 2021): e619. http://dx.doi.org/10.7717/peerj-cs.619.
Testo completoBatra, Shivani, Rohan Khurana, Mohammad Zubair Khan, Wadii Boulila, Anis Koubaa e Prakash Srivastava. "A Pragmatic Ensemble Strategy for Missing Values Imputation in Health Records". Entropy 24, n. 4 (10 aprile 2022): 533. http://dx.doi.org/10.3390/e24040533.
Testo completoZhang, Shichao. "Estimating Semi-Parametric Missing Values with Iterative Imputation". International Journal of Data Warehousing and Mining 6, n. 3 (luglio 2010): 1–10. http://dx.doi.org/10.4018/jdwm.2010070101.
Testo completoBansal, Parikshit, Prathamesh Deshpande e Sunita Sarawagi. "Missing value imputation on multidimensional time series". Proceedings of the VLDB Endowment 14, n. 11 (luglio 2021): 2533–45. http://dx.doi.org/10.14778/3476249.3476300.
Testo completoMohamed, Marghny H., Abdel-Rahiem A. Hashem e M. M. AbdelSamea. "DATA MINING TECHNIQUES FOR MISSING VALUE IMPUTATION". JES. Journal of Engineering Sciences 38, n. 4 (1 luglio 2010): 1001–12. http://dx.doi.org/10.21608/jesaun.2010.125559.
Testo completoArmitage, Emily Grace, Joanna Godzien, Vanesa Alonso-Herranz, Ángeles López-Gonzálvez e Coral Barbas. "Missing value imputation strategies for metabolomics data". ELECTROPHORESIS 36, n. 24 (20 ottobre 2015): 3050–60. http://dx.doi.org/10.1002/elps.201500352.
Testo completoAziz, RZ Abdul, Sri Lestari, Fitria Fitria e Febri Arianto. "Imputation missing value to overcome sparsity problems". TELKOMNIKA (Telecommunication Computing Electronics and Control) 22, n. 4 (1 agosto 2024): 949. http://dx.doi.org/10.12928/telkomnika.v22i4.25940.
Testo completoAlade, Oyekale Abel, Ali Selamat e Roselina Sallehuddin. "The Effects of Missing Data Characteristics on the Choice of Imputation Techniques". Vietnam Journal of Computer Science 07, n. 02 (20 marzo 2020): 161–77. http://dx.doi.org/10.1142/s2196888820500098.
Testo completoThomas, Tressy, e Enayat Rajabi. "A systematic review of machine learning-based missing value imputation techniques". Data Technologies and Applications 55, n. 4 (2 aprile 2021): 558–85. http://dx.doi.org/10.1108/dta-12-2020-0298.
Testo completoLi, Xiao, Huan Li, Hua Luf, Christian S. Jensen, Varun Pandey e Volker Markl. "Missing Value Imputation for Multi-Attribute Sensor Data Streams via Message Propagation". Proceedings of the VLDB Endowment 17, n. 3 (novembre 2023): 345–58. http://dx.doi.org/10.14778/3632093.3632100.
Testo completoRaudhatunnisa, Tsasya, e Nori Wilantika. "Performance Comparison of Hot-Deck Imputation, K-Nearest Neighbor Imputation, and Predictive Mean Matching in Missing Value Handling, Case Study: March 2019 SUSENAS Kor Dataset". Proceedings of The International Conference on Data Science and Official Statistics 2021, n. 1 (4 gennaio 2022): 753–70. http://dx.doi.org/10.34123/icdsos.v2021i1.93.
Testo completoLee, Do-Hoon, e Han-joon Kim. "A Self-Attention-Based Imputation Technique for Enhancing Tabular Data Quality". Data 8, n. 6 (4 giugno 2023): 102. http://dx.doi.org/10.3390/data8060102.
Testo completoLenz, Michael, Andreas Schulz, Thomas Koeck, Steffen Rapp, Markus Nagler, Madeleine Sauer, Lisa Eggebrecht et al. "Missing value imputation in proximity extension assay-based targeted proteomics data". PLOS ONE 15, n. 12 (14 dicembre 2020): e0243487. http://dx.doi.org/10.1371/journal.pone.0243487.
Testo completoCihan, Pinar, e Zeynep Banu Ozger. "A New Heuristic Approach for Treating Missing Value: ABCimp". Elektronika ir Elektrotechnika 25, n. 6 (6 dicembre 2019): 48–54. http://dx.doi.org/10.5755/j01.eie.25.6.24826.
Testo completoMd Soom, Afiqah Bazlla, Aisyah Mat Jasin, Aszila Asmat, Roger Canda e Juhaida Ismail. "A BAD IDEA OF USING MODE IMPUTATION METHOD". Journal of Information System and Technology Management 7, n. 29 (1 dicembre 2022): 01–09. http://dx.doi.org/10.35631/jistm.729001.
Testo completoLi, Cong, Xupeng Ren e Guohui Zhao. "Machine-Learning-Based Imputation Method for Filling Missing Values in Ground Meteorological Observation Data". Algorithms 16, n. 9 (2 settembre 2023): 422. http://dx.doi.org/10.3390/a16090422.
Testo completoPurwar, Archana, e Sandeep Kumar Singh. "DBSCANI: Noise-Resistant Method for Missing Value Imputation". Journal of Intelligent Systems 25, n. 3 (1 luglio 2016): 431–40. http://dx.doi.org/10.1515/jisys-2014-0172.
Testo completoHina, Ayub, e Jamil Harun. "Enhancing Missing Values Imputation through Transformer-Based Predictive Modeling". IgMin Research 2, n. 1 (23 gennaio 2024): 025–31. http://dx.doi.org/10.61927/igmin140.
Testo completoBergamo, Genevile Carife, Carlos Tadeu dos Santos Dias e Wojtek Janusz Krzanowski. "Distribution-free multiple imputation in an interaction matrix through singular value decomposition". Scientia Agricola 65, n. 4 (2008): 422–27. http://dx.doi.org/10.1590/s0103-90162008000400015.
Testo completoG, Madhu, e Nagachandrika G. "A New Paradigm for Development of Data Imputation Approach for Missing Value Estimation". International Journal of Electrical and Computer Engineering (IJECE) 6, n. 6 (1 dicembre 2016): 3222. http://dx.doi.org/10.11591/ijece.v6i6.10632.
Testo completoG, Madhu, e Nagachandrika G. "A New Paradigm for Development of Data Imputation Approach for Missing Value Estimation". International Journal of Electrical and Computer Engineering (IJECE) 6, n. 6 (1 dicembre 2016): 3222. http://dx.doi.org/10.11591/ijece.v6i6.pp3222-3228.
Testo completoLiu, Chia-Hui, Chih-Fong Tsai, Kuen-Liang Sue e Min-Wei Huang. "The Feature Selection Effect on Missing Value Imputation of Medical Datasets". Applied Sciences 10, n. 7 (29 marzo 2020): 2344. http://dx.doi.org/10.3390/app10072344.
Testo completoRodgers, Danielle M., Ross Jacobucci e Kevin J. Grimm. "A Multiple Imputation Approach for Handling Missing Data in Classification and Regression Trees". Journal of Behavioral Data Science 1, n. 1 (maggio 2021): 127–53. http://dx.doi.org/10.35566/jbds/v1n1/p6.
Testo completoDueck, A., P. Atherton, A. Tan e J. Sloan. "How much missing data is too much? A single study exploration". Journal of Clinical Oncology 24, n. 18_suppl (20 giugno 2006): 6116. http://dx.doi.org/10.1200/jco.2006.24.18_suppl.6116.
Testo completoWang, Shuyu, Wengen Li, Siyun Hou, Jihong Guan e Jiamin Yao. "STA-GAN: A Spatio-Temporal Attention Generative Adversarial Network for Missing Value Imputation in Satellite Data". Remote Sensing 15, n. 1 (23 dicembre 2022): 88. http://dx.doi.org/10.3390/rs15010088.
Testo completoCAI, ZHIPENG, MAYSAM HEYDARI e GUOHUI LIN. "ITERATED LOCAL LEAST SQUARES MICROARRAY MISSING VALUE IMPUTATION". Journal of Bioinformatics and Computational Biology 04, n. 05 (ottobre 2006): 935–57. http://dx.doi.org/10.1142/s0219720006002302.
Testo completoDi Lena, Pietro, Claudia Sala, Andrea Prodi e Christine Nardini. "Missing value estimation methods for DNA methylation data". Bioinformatics 35, n. 19 (23 febbraio 2019): 3786–93. http://dx.doi.org/10.1093/bioinformatics/btz134.
Testo completoKim, Taesung, Jinhee Kim, Wonho Yang, Hunjoo Lee e Jaegul Choo. "Missing Value Imputation of Time-Series Air-Quality Data via Deep Neural Networks". International Journal of Environmental Research and Public Health 18, n. 22 (20 novembre 2021): 12213. http://dx.doi.org/10.3390/ijerph182212213.
Testo completoPan, Hu, Zhiwei Ye, Qiyi He, Chunyan Yan, Jianyu Yuan, Xudong Lai, Jun Su e Ruihan Li. "Discrete Missing Data Imputation Using Multilayer Perceptron and Momentum Gradient Descent". Sensors 22, n. 15 (28 luglio 2022): 5645. http://dx.doi.org/10.3390/s22155645.
Testo completoSallaby, Achmad Fikri, e Azlan Azlan. "Analysis of Missing Value Imputation Application with K-Nearest Neighbor (K-NN) Algorithm in Dataset". IJICS (International Journal of Informatics and Computer Science) 5, n. 2 (1 agosto 2021): 141. http://dx.doi.org/10.30865/ijics.v5i2.3185.
Testo completo