Evolutionary Regression and Neural Imputations of Missing Values

While the information age has made a large amount of data available for improved industrial process planning, occasional failures lead to missing data. The missing data may make it difficult to apply analytical models. Data imputation techniques help us fill the missing data with a reasonable prediction of what the missing values would have been.

[1]  Amit Gupta,et al.  Estimating Missing Values Using Neural Networks , 1996 .

[2]  W. Mendenhall,et al.  Statistics for engineering and the sciences , 1984 .

[3]  Peter M. Todd,et al.  Designing Neural Networks using Genetic Algorithms , 1989, ICGA.

[4]  Dorothea Heiss-Czedik,et al.  An Introduction to Genetic Algorithms. , 1997, Artificial Life.

[5]  Steve Beveridge,et al.  Least squates estimation of missing values in time series , 1992 .

[6]  D. Rubin,et al.  Statistical Analysis with Missing Data , 1988 .

[7]  Iftekhar A Kalyar Prediction of Sunday afternoon traffic using neural network and regression analysis , 1999 .

[8]  Frederick E. Petry,et al.  Genetic Algorithms , 1992 .

[9]  Pawan Lingras,et al.  Time Delay Neural Networks Designed Using Genetic Algorithms for Short Term Inter-City Traffic Forecasting , 2001, IEA/AIE.

[10]  D. Berry,et al.  Statistics: Theory and Methods , 1990 .

[11]  Micah Altman,et al.  Encyclopedia of Social Measurement , 2004 .

[12]  John J. Grefenstette,et al.  Optimization of Control Parameters for Genetic Algorithms , 1986, IEEE Transactions on Systems, Man, and Cybernetics.

[13]  J. David Schaffer,et al.  Proceedings of the third international conference on Genetic algorithms , 1989 .

[14]  Joseph L Schafer,et al.  Analysis of Incomplete Multivariate Data , 1997 .

[15]  David J. Chalmers,et al.  The Evolution of Learning: An Experiment in Genetic Connectionism , 1991 .

[16]  Gwilym M. Jenkins,et al.  Time series analysis, forecasting and control , 1971 .

[17]  J. Schafer Multiple imputation: a primer , 1999, Statistical methods in medical research.

[18]  Nicholas J. Garber,et al.  Traffic and Highway Engineering , 1988 .

[19]  Roger A. Sugden,et al.  Multiple Imputation for Nonresponse in Surveys , 1988 .

[20]  Thomas H. Connolly,et al.  Comparison of Some Neural Network and Scattered Data Approximations: The Inverse Manipulator Kinematics Example , 1994, Neural Computation.

[21]  Stefan Schaal,et al.  Memory-based robot learning , 1994, Proceedings of the 1994 IEEE International Conference on Robotics and Automation.

[22]  James B. McDonald,et al.  Time Series Prediction With Genetic‐Algorithm Designed Neural Networks: An Empirical Comparison With Modern Statistical Models , 1999, Comput. Intell..

[23]  Andrew W. Moore,et al.  Locally Weighted Learning for Control , 1997, Artificial Intelligence Review.

[24]  John L.P. Thompson,et al.  Missing data , 2004, Amyotrophic lateral sclerosis and other motor neuron disorders : official publication of the World Federation of Neurology, Research Group on Motor Neuron Diseases.

[25]  Andrew Pickles,et al.  Missing Data, Problems and Solutions , 2003 .

[26]  Rolf Stadler,et al.  Discovering Data Mining: From Concept to Implementation , 1997 .

[27]  David S. Touretzky,et al.  Connectionist models : proceedings of the 1990 summer school , 1991 .

[28]  Tariq Samad,et al.  Towards the Genetic Synthesisof Neural Networks , 1989, ICGA.

[29]  Vijay P. Singh,et al.  Estimation of Missing Values with Use of Entropy , 1997 .

[30]  CHAID as a Method for Filling in Missing Values , 2003 .

[31]  J L Schafer,et al.  Multiple Imputation for Multivariate Missing-Data Problems: A Data Analyst's Perspective. , 1998, Multivariate behavioral research.

[32]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[33]  Ming Zhong,et al.  Prediction of Recreational Travel Using Genetically Designed Regression and Time-Delay Neural Network Models , 2002 .

[34]  Bruce Ratner,et al.  Statistical Modeling and Analysis for Database Marketing: Effective Techniques for Mining Big Data , 2003 .

[35]  R. Suganya,et al.  Data Mining Concepts and Techniques , 2010 .

[36]  D. Rubin Multiple Imputation After 18+ Years , 1996 .