Machine Learning - Special issue on inductive transfer
GTM: the generative topographic mapping
Neural Computation
Nonlinear time-series prediction with missing and noisy data
Neural Computation
Learning fixed-dimension linear thresholds from fragmented data
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
A unifying review of linear Gaussian models
Neural Computation
Knowledge discovery from sparse pharmacokinetic data
SAC '00 Proceedings of the 2000 ACM symposium on Applied computing - Volume 1
Validating the ISO/IEC 15504 Measure of Software Requirements Analysis Process Capability
IEEE Transactions on Software Engineering
Interactive exploration of very large relational datasets through 3D dynamic projections
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
n23tool: a tool for exploring large relational datasets through 3D dynamic projections
Proceedings of the ninth international conference on Information and knowledge management
Classification with Nonmetric Distances: Image Retrieval and Class Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Collinearity and Two-Step Estimation of Sample Selection Models: Problems, Origins, and Remedies
Computational Economics
Mining massively incomplete data sets by conceptual reconstruction
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Software Cost Estimation with Incomplete Data
IEEE Transactions on Software Engineering
IEEE Transactions on Software Engineering - Special section on the seventh international software metrics symposium
Learning fixed-dimension linear thresholds from fragmented data
Information and Computation
Learning missing values from summary constraints
ACM SIGKDD Explorations Newsletter
Effort estimation for corrective software maintenance
SEKE '02 Proceedings of the 14th international conference on Software engineering and knowledge engineering
Maximum Likelihood Estimation of Mixture Densities for Binned and Truncated Multivariate Data
Machine Learning - Special issue: Unsupervised learning
Parameter Learning in Object-Oriented Bayesian Networks
Annals of Mathematics and Artificial Intelligence
Progress in Intelligent Data Analysis
Applied Intelligence
Imputation of Missing Data in Industrial Databases
Applied Intelligence
Modelling the Likelihood of Software Process Improvement: An Exploratory Study
Empirical Software Engineering
Three-way component analysis with smoothness constraints
Computational Statistics & Data Analysis
Maximum Consistency of Incomplete Datavia Non-Invasive Imputation
Artificial Intelligence Review
On some detection and estimation problems in heavy-tailed noise
Signal Processing - Signal processing with heavy-tailed models
A pseudo-nearest-neighbor approach for missing data recovery on Gaussian random data sets
Pattern Recognition Letters
Clustering incomplete relational data using the non-Euclidean relational fuzzy c-means algorithm
Pattern Recognition Letters
Learning cost-sensitive active classifiers
Artificial Intelligence
Computational Statistics & Data Analysis - Nonlinear methods and data mining
Preliminary guidelines for empirical research in software engineering
IEEE Transactions on Software Engineering
Principles of survey research part 6: data analysis
ACM SIGSOFT Software Engineering Notes
Mixture model clustering for mixed data with missing information
Computational Statistics & Data Analysis
Computational Statistics & Data Analysis
Dynamic Trees: Learning to Model Outdoor Scenes
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Model Based Disclosure Protection
Inference Control in Statistical Databases, From Theory to Practice
Fusion of Meta-knowledge and Meta-data for Case-Based Model Selection
PKDD '01 Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery
DaWaK '99 Proceedings of the First International Conference on Data Warehousing and Knowledge Discovery
Modeling and Imputation of Large Incomplete Multidimensional Datasets
DaWaK 2000 Proceedings of the 4th International Conference on Data Warehousing and Knowledge Discovery
EM-Based Radial Basis Function Training with Partial Information
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Eighteenth national conference on Artificial intelligence
Variational Bayesian learning of ICA with missing data
Neural Computation
The impact of missing data on data mining
Data mining
Fusion of domain knowledge with data for structural learning in object oriented domains
The Journal of Machine Learning Research
Visual Exploration of Large Relational Data Sets through 3D Projections and Footprint Splatting
IEEE Transactions on Knowledge and Data Engineering
On the Use of Conceptual Reconstruction for Mining Massively Incomplete Data Sets
IEEE Transactions on Knowledge and Data Engineering
Journal of Multivariate Analysis
Data quality through knowledge engineering
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Revenue Management and E-Commerce
Management Science
Journal of Computational and Applied Mathematics
Robust mixture modelling using multivariate t-distribution with missing information
Pattern Recognition Letters
Learning and evaluating classifiers under sample selection bias
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Interactive training of advanced classifiers for mining remote sensing image archives
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
COMPSAC '04 Proceedings of the 28th Annual International Computer Software and Applications Conference - Volume 01
Class Noise vs. Attribute Noise: A Quantitative Study
Artificial Intelligence Review
Updating beliefs with incomplete observations
Artificial Intelligence
The restricted EM algorithm under inequality restrictions on the parameters
Journal of Multivariate Analysis
A Short Note on Safest Default Missingness Mechanism Assumptions
Empirical Software Engineering
Assessing Variation in Development Effort Consistency Using a Data Source with Missing Data
Software Quality Control
A Hybrid Neural Network System for Pattern Classification Tasks with Missing Features
IEEE Transactions on Pattern Analysis and Machine Intelligence
Matching estimators and optimal bandwidth choice
Statistics and Computing
Classification with incomplete survey data: a Hopfield neural network approach
Computers and Operations Research
Nearest neighbour approach in the least-squares data imputation algorithms
Information Sciences: an International Journal
Economical active feature-value acquisition through Expected Utility estimation
UBDM '05 Proceedings of the 1st international workshop on Utility-based data mining
Cost-Constrained Data Acquisition for Intelligent Data Preparation
IEEE Transactions on Knowledge and Data Engineering
"Missing Is Useful': Missing Values in Cost-Sensitive Decision Trees
IEEE Transactions on Knowledge and Data Engineering
Protecting privacy in tabular healthcare data: explicit uncertainty for disclosure control
Proceedings of the 2005 ACM workshop on Privacy in the electronic society
An Expected Utility Approach to Active Feature-Value Acquisition
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
An Integrated Data Preparation Scheme for Neural Network Data Analysis
IEEE Transactions on Knowledge and Data Engineering
Analysis of incomplete data and an intrinsic-dimension Helly theorem
SODA '06 Proceedings of the seventeenth annual ACM-SIAM symposium on Discrete algorithm
Class noise vs. attribute noise: a quantitative study of their impacts
Artificial Intelligence Review
Gappy data: To Krig or not to Krig?
Journal of Computational Physics
Conditional independence models for seemingly unrelated regressions with incomplete data
Journal of Multivariate Analysis
Domain-independent data cleaning via analysis of entity-relationship graph
ACM Transactions on Database Systems (TODS)
Categorical missing data imputation for software cost estimation by multinomial logistic regression
Journal of Systems and Software
Decomposition of structural learning about directed acyclic graphs
Artificial Intelligence
Applying statistical methodology to optimize and simplify software metric models with missing data
Proceedings of the 2006 ACM symposium on Applied computing
Effects of the neural network s-sigmoid function on KDD in the presence of imprecise data
Computers and Operations Research
The problem of disguised missing data
ACM SIGKDD Explorations Newsletter
Reverse testing: an efficient framework to select amongst classifiers under sample selection bias
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Missing data imputation in breast cancer prognosis
BioMed'06 Proceedings of the 24th IASTED international conference on Biomedical engineering
IEEE Transactions on Visualization and Computer Graphics
An evaluation of nonresponse and coverage errors in a prerecruited probability web panel survey
Social Science Computer Review
Development of robust design optimization using incomplete data
Computers and Industrial Engineering
On fast supervised learning for normal mixture models with missing information
Pattern Recognition
A new imputation method for small software project data sets
Journal of Systems and Software
Simultaneous modelling of the Cholesky decomposition of several covariance matrices
Journal of Multivariate Analysis
Automatic spectral analysis with missing data
Digital Signal Processing
Computers in Biology and Medicine
Use of OSWALD for analyzing longitudinal data with informative dropout
Computer Methods and Programs in Biomedicine
Fast algorithms for robust classification with Bayesian nets
International Journal of Approximate Reasoning
Short communication: Logical operators of some statistical computing packages and missing values
Computational Statistics & Data Analysis
On improved EM algorithm and confidence interval construction for incomplete rXc tables
Computational Statistics & Data Analysis
Two-sample inference for normal mean vectors based on monotone missing data
Journal of Multivariate Analysis
Flexible Indiscernibility Relations for Missing Attribute Values
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P 2004)
Editorial: Special issue on mining low-quality data
Knowledge and Information Systems - Special Issue on Mining Low-Quality Data
Data quality awareness: a case study for cost optimal association rule mining
Knowledge and Information Systems - Special Issue on Mining Low-Quality Data
International Journal of High Performance Computing Applications
On nonparametric classification with missing covariates
Journal of Multivariate Analysis
Computational Statistics & Data Analysis
Computational Statistics & Data Analysis
Imputing incomplete time-series data based on varied-window similarity measure of data sequences
Pattern Recognition Letters
Testing equality of covariance matrices when data are incomplete
Computational Statistics & Data Analysis
Mixture analysis of multivariate categorical data with covariates and missing entries
Computational Statistics & Data Analysis
Imputation through finite Gaussian mixture models
Computational Statistics & Data Analysis
Outlier elimination in construction of software metric models
Proceedings of the 2007 ACM symposium on Applied computing
Multistage Selection and the Financing of New Ventures
Management Science
Estimation in partially linear models with missing responses at random
Journal of Multivariate Analysis
Discovering and Exploiting Causal Dependencies for Robust Mobile Context-Aware Recommenders
IEEE Transactions on Knowledge and Data Engineering
Semi-parametric optimization for missing data imputation
Applied Intelligence
Designing Web Sites for Customer Loyalty Across Business Domains: A Multilevel Analysis
Journal of Management Information Systems
Computational Statistics & Data Analysis
Making generative classifiers robust to selection bias
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Cleaning disguised missing data: a heuristic approach
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Multiple optima in identification of ARX models subject to missing data
EURASIP Journal on Applied Signal Processing
Software quality estimation with limited fault data: a semi-supervised learning perspective
Software Quality Control
Improving the prediction performance of customer behavior through multiple imputation
Intelligent Data Analysis
Missing values prediction with K2
Intelligent Data Analysis
GRAFT, a complete system for data fusion
Computational Statistics & Data Analysis
Mean-field variational approximate Bayesian inference for latent variable models
Computational Statistics & Data Analysis
Computational Statistics & Data Analysis
Maximum trimmed likelihood estimator for multivariate mixed continuous and categorical data
Computational Statistics & Data Analysis
Computational Intelligence and Neuroscience - EEG/MEG Signal Processing
Bayesian networks for imputation in classification problems
Journal of Intelligent Information Systems
Query processing over incomplete autonomous databases
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Exploiting missing clinical data in Bayesian network modeling for predicting medical problems
Journal of Biomedical Informatics
Privacy-preserving imputation of missing data
Data & Knowledge Engineering
Choosing an appropriate number of factors in factor analysis with incomplete data
Computational Statistics & Data Analysis
Empirical likelihood confidence intervals for differences between two datasets with missing data
Pattern Recognition Letters
A comprehensive empirical evaluation of missing value imputation in noisy software measurement data
Journal of Systems and Software
Generalized partially linear models with missing covariates
Journal of Multivariate Analysis
Good methods for coping with missing data in decision trees
Pattern Recognition Letters
Null values in fuzzy databases
Journal of Intelligent Information Systems
A data mining approach to assessing the extent of damage of missing values in survey
International Journal of Business Intelligence and Data Mining
Missing Data Imputation Techniques
International Journal of Business Intelligence and Data Mining
International Journal of Business Intelligence and Data Mining
Proceedings of the 2008 ACM symposium on Applied computing
Bayesian networks with a logistic regression model for the conditional probabilities
International Journal of Approximate Reasoning
An iterative refinement approach for data cleaning
Intelligent Data Analysis
Theory and inference for regression models with missing responses and covariates
Journal of Multivariate Analysis
Data sets and data quality in software engineering
Proceedings of the 4th international workshop on Predictor models in software engineering
Learning Bayesian networks from incomplete databases using a novel evolutionary algorithm
Decision Support Systems
A modified EM alr-algorithm for replacing rounded zeros in compositional data sets
Computers & Geosciences
DiMaC: a system for cleaning disguised missing data
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
The linear neuron as marker selector and clinical predictor in cancer gene analysis
Computer Methods and Programs in Biomedicine
Computational Statistics & Data Analysis
Recovering from errors during programming by demonstration
Proceedings of the 13th international conference on Intelligent user interfaces
Tests for consistent measurement of external subjective software quality attributes
Empirical Software Engineering
Max-margin Classification of Data with Absent Features
The Journal of Machine Learning Research
Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2
The Journal of Machine Learning Research
Computational Statistics & Data Analysis
Wrapper filtering criteria via linear neuron and kernel approaches
Computers in Biology and Medicine
Analysis of variance with general errors and grouped and non-grouped data: Some iterative algorithms
Journal of Multivariate Analysis
Learning classifiers from only positive and unlabeled data
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
DiMaC: a disguised missing data cleaning tool
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Impact of imputation of missing values on classification error for discrete data
Pattern Recognition
A selective Bayes Classifier for classifying incomplete data based on gain ratio
Knowledge-Based Systems
International Journal of Approximate Reasoning
Handling Missing Data from Heteroskedastic and Nonstationary Data
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
Multi-task Neural Networks for Dealing with Missing Inputs
IWINAC '07 Proceedings of the 2nd international work-conference on The Interplay Between Natural and Artificial Computation, Part I: Bio-inspired Modeling of Cognitive Tasks
Sample Selection Bias Correction Theory
ALT '08 Proceedings of the 19th international conference on Algorithmic Learning Theory
Sequential local least squares imputation estimating missing value of microarray data
Computers in Biology and Medicine
Journal of Systems and Software
Modelling of rough-fuzzy classifier
WSEAS TRANSACTIONS on SYSTEMS
Towards optimal use of incomplete classification data
Computers and Operations Research
Confidence intervals for a common mean with missing data with applications in an AIDS study
Computational Statistics & Data Analysis
Computational Statistics & Data Analysis
Exact inference on contrasts in means of intraclass correlation models with missing responses
Journal of Multivariate Analysis
POP algorithm: Kernel-based imputation to treat missing values in knowledge discovery from databases
Expert Systems with Applications: An International Journal
Estimation of the disease-specific diagnostic marker distribution under verification bias
Computational Statistics & Data Analysis
Missing Value Imputation Using a Semi-supervised Rank Aggregation Approach
SBIA '08 Proceedings of the 19th Brazilian Symposium on Artificial Intelligence: Advances in Artificial Intelligence
Imputation techniques for multivariate missingness in software measurement data
Software Quality Control
Computer Vision and Image Understanding
NIIA: Nonparametric Iterative Imputation Algorithm
PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Model checking for partially linear models with missing responses at random
Journal of Multivariate Analysis
Discovering patterns of missing data in survey databases: An application of rough sets
Expert Systems with Applications: An International Journal
Estimating confidence intervals for structural differences between contrast groups with missing data
Expert Systems with Applications: An International Journal
Computer Methods and Programs in Biomedicine
On the influence of imputation in classification: practical issues
Journal of Experimental & Theoretical Artificial Intelligence
Probability density estimation for survival data with censoring indicators missing at random
Journal of Multivariate Analysis
On metricity of two heterogeneous measures in the presence of missing values
Artificial Intelligence Review
Trend vector models for the analysis of change in continuous time for multiple groups
Computational Statistics & Data Analysis
Fuzzy cluster stability analysis with missing values using resampling
International Journal of Bioinformatics Research and Applications
Should we try to measure software quality attributes directly?
Software Quality Control
Empirical likelihood for linear models with missing responses
Journal of Multivariate Analysis
AN EMPIRICAL COMPARISON OF TECHNIQUES FOR HANDLING INCOMPLETE DATA USING DECISION TREES
Applied Artificial Intelligence
The EM algorithm in a distributed computing environment for modelling environmental space-time data
Environmental Modelling & Software
Imputation of missing sensor data values using in-exact replicas
International Journal of Intelligent Systems Technologies and Applications
An index for cross-country analysis of ICT infrastructure and access
Telecommunications Policy
Approximation Methods for Efficient Learning of Bayesian Networks
Proceedings of the 2008 conference on Approximation Methods for Efficient Learning of Bayesian Networks
Kernel-Based Multi-Imputation for Missing Data
Proceedings of the 2006 conference on Advances in Intelligent IT: Active Media Technology 2006
Missing or absent? A Question in Cost-sensitive Decision Tree
Proceedings of the 2006 conference on Advances in Intelligent IT: Active Media Technology 2006
Smoothing clickthrough data for web search ranking
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Recovering Missing Data with Functional and Bayesian Networks
IWANN '03 Proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks: Part II: Artificial Neural Nets Problem Solving Methods
A Max-Margin Learning Algorithm with Additional Features
FAW '09 Proceedings of the 3d International Workshop on Frontiers in Algorithmics
Missing values imputation techniques for neural networks patterns
ICS'08 Proceedings of the 12th WSEAS international conference on Systems
Proceedings of the Third International Workshop on Data Mining and Audience Intelligence for Advertising
New imputation methods for missing data using quantiles
Journal of Computational and Applied Mathematics
Error detection and impact-sensitive instance ranking in noisy datasets
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Journal of Multivariate Analysis
Finite-sample inference with monotone incomplete multivariate normal data, I
Journal of Multivariate Analysis
Journal of Multivariate Analysis
Facial Shape Variation of U.S. Respirator Users
ICDHM '09 Proceedings of the 2nd International Conference on Digital Human Modeling: Held as Part of HCI International 2009
A Large Margin Classifier with Additional Features
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
Computational Statistics & Data Analysis
Iterative imputation algorithms for process modeling with incomplete data
Intelligent Data Analysis
Exploiting Data Missingness in Bayesian Network Modeling
IDA '09 Proceedings of the 8th International Symposium on Intelligent Data Analysis: Advances in Intelligent Data Analysis VIII
Dynamic Clustering-Based Estimation of Missing Values in Mixed Type Data
DaWaK '09 Proceedings of the 11th International Conference on Data Warehousing and Knowledge Discovery
Missing Values: Proposition of a Typology and Characterization with an Association Rule-Based Model
DaWaK '09 Proceedings of the 11th International Conference on Data Warehousing and Knowledge Discovery
Modeling Unreliable Observations in Bayesian Networks by Credal Networks
SUM '09 Proceedings of the 3rd International Conference on Scalable Uncertainty Management
Analysis of multivariate skew normal models with incomplete data
Journal of Multivariate Analysis
Joint analysis of mixed Poisson and continuous longitudinal data with nonignorable missing values
Computational Statistics & Data Analysis
Learning from labeled and unlabeled data: an empirical study across techniques and domains
Journal of Artificial Intelligence Research
Conservative inference rule for uncertain reasoning under incompleteness
Journal of Artificial Intelligence Research
Operations for learning with graphical models
Journal of Artificial Intelligence Research
Collaborative prediction and ranking with non-random missing data
Proceedings of the third ACM conference on Recommender systems
Semi-parametric marginal models for hierarchical data and their corresponding full models
Computational Statistics & Data Analysis
A generalization of Tyler's M-estimators to the case of incomplete data
Computational Statistics & Data Analysis
The VLDB Journal — The International Journal on Very Large Data Bases
Decomposition of structural learning about directed acyclic graphs
Artificial Intelligence
Knowledge discovery from imbalanced and noisy data
Data & Knowledge Engineering
The nature of sensitivity in monotone missing not at random models
Computational Statistics & Data Analysis
Mean estimation with calibration techniques in presence of missing data
Computational Statistics & Data Analysis
Estimating the linear regression model with categorical covariates subject to randomized response
Computational Statistics & Data Analysis
Assessing local influence for nonlinear structural equation models with ignorable missing data
Computational Statistics & Data Analysis
Iterated importance sampling in missing data problems
Computational Statistics & Data Analysis
Nearest neighbours in least-squares data imputation algorithms with different missing patterns
Computational Statistics & Data Analysis
A SAS/IML software program for GEE and regression diagnostics
Computational Statistics & Data Analysis
Stability of household income in European countries in the 1990s
Computational Statistics & Data Analysis
Analysis of longitudinal data with intermittent missing values using the stochastic EM algorithm
Computational Statistics & Data Analysis
Multiple imputation of missing values in a cancer mortality analysis with estimated exposure dose
Computational Statistics & Data Analysis
Random and fuzzy sets in coarse data analysis
Computational Statistics & Data Analysis
Permutation procedures with censored data
Computational Statistics & Data Analysis
PPCA-based missing data imputation for traffic flow volume: a systematical approach
IEEE Transactions on Intelligent Transportation Systems
Impact of non-normal random effects on inference by multiple imputation: A simulation assessment
Computational Statistics & Data Analysis
Wiener processes with random effects for degradation data
Journal of Multivariate Analysis
Finite-sample inference with monotone incomplete multivariate normal data, II
Journal of Multivariate Analysis
The Stein phenomenon for monotone incomplete multivariate normal data
Journal of Multivariate Analysis
Building Shape Models from Lousy Data
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
An Efficient Prediction Model for Diabetic Database Using Soft Computing Techniques
RSFDGrC '09 Proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Computational Statistics & Data Analysis
Credible classification for environmental problems
Environmental Modelling & Software
Selective fusion of out-of-sequence measurements
Information Fusion
Learning parameters of Bayesian networks from incomplete data via importance sampling
International Journal of Approximate Reasoning
Rough neuro-fuzzy structures for classification with missing data
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A fingerprint pattern classification approach based on the coordinate geometry of singularities
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Robust analysis of MRS brain tumour data using t-GTM
Neurocomputing
Nonparametric variance function estimation with missing data
Journal of Multivariate Analysis
A non-linear index to evaluate a journal's scientific impact
Information Sciences: an International Journal
Optimized parameters for missing data imputation
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Differentiated treatment of missing values in fuzzy clustering
IFSA'03 Proceedings of the 10th international fuzzy systems association World Congress conference on Fuzzy sets and systems
Three methods for covering missing input data in XCS
IWLCS'03-05 Proceedings of the 2003-2005 international conference on Learning classifier systems
Default clustering with conceptual structures
Journal on data semantics VIII
Robust tree-based incremental imputation method for data fusion
IDA'07 Proceedings of the 7th international conference on Intelligent data analysis
Systematically improving the quality of IT utilization data
ACM SIGMETRICS Performance Evaluation Review
ABBA: adaptive bicluster-based approach to impute missing values in binary matrices
Proceedings of the 2010 ACM Symposium on Applied Computing
Robust autonomous model learning from 2D and 3D data sets
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Visualization of the critical patterns of missing values in classification data
VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
Estimating missing data in data streams
DASFAA'07 Proceedings of the 12th international conference on Database systems for advanced applications
A selective classifier for incomplete data
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Imputing time series data by regional-gradient-guided bootstrapping algorithm
ISCIT'09 Proceedings of the 9th international conference on Communications and information technologies
Yet another approach for completing missing values
CLA'06 Proceedings of the 4th international conference on Concept lattices and their applications
A hybrid selective classifier for categorizing incomplete data
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 1
Missing data imputation: a fuzzy K-means clustering algorithm over sliding window
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 3
Learning Bayesian network structure from incomplete data without any assumption
DASFAA'08 Proceedings of the 13th international conference on Database systems for advanced applications
Partial observability and learnability
Artificial Intelligence
Preprocessing DNS log data for effective data mining
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Robot execution failure prediction using incomplete data
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
Focusing solutions for data mining: analytical studies and experimental results in real-world domains
Training and testing of recommender systems on data missing not at random
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
MFP: a mechanism for determining associated patterns of stock
Proceedings of the 7th International Conference on Frontiers of Information Technology
Optimizing pervasive sensor data acquisition utilizing missing values substitution
Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments
Ensemble missing data techniques for software effort prediction
Intelligent Data Analysis
Shape analysis of 3D head scan data for U.S. respirator users
EURASIP Journal on Advances in Signal Processing - Special issue on advanced image processing for defense and security applications
Supporting ranking queries on uncertain and incomplete data
The VLDB Journal — The International Journal on Very Large Data Bases
Predicting incomplete gene microarray data with the use of supervised learning algorithms
Pattern Recognition Letters
Generalized entropy optimization distributions dependent on parameter in time series
WSEAS Transactions on Information Science and Applications
Computational Statistics & Data Analysis
Practical Approaches to Principal Component Analysis in the Presence of Missing Values
The Journal of Machine Learning Research
Learning Bayesian networks from incomplete data
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Fuzzy clustering of incomplete data based on cluster dispersion
IPMU'10 Proceedings of the Computational intelligence for knowledge-based systems design, and 13th international conference on Information processing and management of uncertainty
Making words work: Using financial text as a predictor of financial events
Decision Support Systems
A tree augmented classifier based on Extreme Imprecise Dirichlet Model
International Journal of Approximate Reasoning
Explaining physicians' acceptance of EHCR systems: An extension of TAM with trust and risk factors
Computers in Human Behavior
Computational Statistics & Data Analysis
ODMixed: A tool to obtain optimal designs for heterogeneous longitudinal studies with dropout
Computer Methods and Programs in Biomedicine
Journal of Intelligent Information Systems
Missing data imputation by utilizing information within incomplete instances
Journal of Systems and Software
Estimation method based on MinMaxEnt distribution for missing value in time series
ICOSSSE '09 Proceedings of the 8th WSEAS international conference on System science and simulation in engineering
Empirical likelihood for semiparametric regression model with missing response data
Journal of Multivariate Analysis
Access to and penetration of ICT in rural Thailand
Telecommunications Policy
Detection of multivariate outliers in business survey data with incomplete information
Advances in Data Analysis and Classification
Iterative stepwise regression imputation using standard and robust methods
Computational Statistics & Data Analysis
Journal of Multivariate Analysis
Shell-neighbor method and its application in missing data imputation
Applied Intelligence
Empirical Bayes predictive densities for high-dimensional normal models
Journal of Multivariate Analysis
Integration of gene signatures using biological knowledge
Artificial Intelligence in Medicine
Handling missing data in software effort prediction with naive Bayes and EM algorithm
Proceedings of the 7th International Conference on Predictive Models in Software Engineering
On-line classification of data streams with missing values based on reinforcement learning
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Inhabitant prediction in smart houses
Proceedings of the 2011 international workshop on Situation activity & goal awareness
Multiple imputation in principal component analysis
Advances in Data Analysis and Classification
Automating the calibration of a neonatal condition monitoring system
AIME'11 Proceedings of the 13th conference on Artificial intelligence in medicine
Finding the game flow from sports video
J-MRE '11 Proceedings of the 2011 joint ACM workshop on Modeling and representing events
Learning Bayesian networks from incomplete data with stochastic search algorithms
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Robust feature selection by mutual information distributions
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Learning Bayesian networks from incomplete databases
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
CLINCH: clustering incomplete high-dimensional data for data mining application
APWeb'05 Proceedings of the 7th Asia-Pacific web conference on Web Technologies Research and Development
Missing values: sparse inverse covariance estimation and an extension to sparse regression
Statistics and Computing
Missing value estimation for DNA microarrays with mutliresolution schemes
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II
Updating with incomplete observations
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Unsupervised pattern discovery in electronic health care data using probabilistic clustering models
Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
CHASE2: rule based chase algorithm for information systems of type λ
AM'03 Proceedings of the Second international conference on Active Mining
Integrated mining for cancer incidence factors from healthcare data
AM'03 Proceedings of the Second international conference on Active Mining
Missing values imputation for a clustering genetic algorithm
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
An analysis of missing data treatment methods and their application to health care dataset
ADMA'05 Proceedings of the First international conference on Advanced Data Mining and Applications
A SVM regression based approach to filling in missing values
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Minimum imputed risk: unsupervised discriminative training for machine translation
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Investigating ID3-Induced rules from low-dimensional data cleaned by complete case analysis
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Towards efficient imputation by nearest-neighbors: a clustering-based approach
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Computational Statistics & Data Analysis
Dealing with missing data: algorithms based on fuzzy set and rough set theories
Transactions on Rough Sets IV
Some imputation algorithms for restoration of missing data
CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Regression analysis under incomplete linkage
Computational Statistics & Data Analysis
Estimating discrete Markov models from various incomplete data schemes
Computational Statistics & Data Analysis
Predictive analytics in information systems research
MIS Quarterly
Multivariate random effect models with complete and incomplete data
Journal of Multivariate Analysis
Expert Systems with Applications: An International Journal
Artificial Intelligence in Medicine
Inductive learning models with missing values
Mathematical and Computer Modelling: An International Journal
Recommender systems: missing data and statistical model estimation
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Computational Statistics & Data Analysis
A Bayesian imputation method for a clustering genetic algorithm
Journal of Computational Methods in Sciences and Engineering
Estimating conversion rate in display advertising from past erformance data
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Removal and interpolation of missing values using wavelet neural network for heterogeneous data sets
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Hot deck methods for imputing missing data: the effects of limiting donor usage
MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition
Estimating population proportions in the presence of missing data
Journal of Computational and Applied Mathematics
Flexible Indiscernibility Relations for Missing Attribute Values
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P 2004)
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Personality traits and knowledge sharing in online communities
Computers in Human Behavior
WIMP: Web server tool for missing data imputation
Computer Methods and Programs in Biomedicine
A data imputation model in sensor databases
HPCC'07 Proceedings of the Third international conference on High Performance Computing and Communications
The quick dynamic clustering method for mixed-type data
Automation and Remote Control
Environmental Modelling & Software
Introducing fuzzy labels to agent-generated textual descriptions of incomplete city-traffic states
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part II
Technology Acceptance Model Applied to the Adoption of Grid and Cloud Technology
International Journal of Grid and High Performance Computing
Boosting with side information
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
A dynamic programming approach to missing data estimation using neural networks
Information Sciences: an International Journal
A decision tree-based missing value imputation technique for data pre-processing
AusDM '11 Proceedings of the Ninth Australasian Data Mining Conference - Volume 121
Evaluation of recommendations: rating-prediction and ranking
Proceedings of the 7th ACM conference on Recommender systems
Imputation for categorical attributes with probabilistic reasoning
WAIM'13 Proceedings of the 14th international conference on Web-Age Information Management
mmm: An R package for analyzing multivariate longitudinal data with multivariate marginal models
Computer Methods and Programs in Biomedicine
Missing values: how many can they be to preserve classification reliability?
Artificial Intelligence Review
Multi-index regression models with missing covariates at random
Journal of Multivariate Analysis
Automated learning of factor analysis with complete and incomplete data
Computational Statistics & Data Analysis
Instance driven clustering for the imputation of missing data in KDD
International Journal of Communication Networks and Distributed Systems
A 0-1 quadratic programme for the case of missing data in regression
International Journal of Data Analysis Techniques and Strategies
A 0-1 quadratic programme for the case of missing data in regression
International Journal of Data Analysis Techniques and Strategies
Impact of noise on credit risk prediction: Does data quality really matter?
Intelligent Data Analysis
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