The Effects of Data Quality on Machine Learning Performance on Tabular Data

A General Coefficient of Similarity and Some of its Properties

J. C. Gower. 1971 · 1971

Earlier work this paper cites.

Hedonic Housing Prices and the Demand for Clean Air

D. Harrison and D. L. Rubinfeld. 1978 · 1978

Earlier work this paper cites.

Classification and Regression Trees

Leo Breiman, J. H. Friedman, R. A. Olshen, and C. J. Stone. 1984 · 1984

Earlier work this paper cites.

Efficient Algorithms for Agglomerative Hierarchical Clustering Methods

W. H. E. Day and H. Edelsbrunner. 1984 · 1984

Earlier work this paper cites.

Generalized Linear Models

Peter McCullagh and John A. Nelder. 1989 · 1989

Earlier work this paper cites.

A General Regression Neural Network

Donald F. Specht. 1991 · 1991

Earlier work this paper cites.

An introduction to kernel and nearest-neighbor nonparametric regression

Naomi S Altman. 1992 · 1992

Earlier work this paper cites.

A General Treatment of Data Redundancy in a Fuzzy Relational Data Model

G. Chen, J. Vandenbulcke, and E. E. Kerre. 1992 · 1992

Earlier work this paper cites.

Support-vector networks

Corinna Cortes and Vladimir Vapnik. 1995 · 1995

Earlier work this paper cites.

Beyond Accuracy: What Data Quality Means to Data Consumers

R. Y. Wang and D. M. Strong. 1996 · 1996

Earlier work this paper cites.

OPTICS: Ordering Points to Identify the Clustering Structure. In Proceedings of the International Conference on Management of Data (SIGMOD) , Vol. 28. 49–60

Mihael Ankerst, Markus M. Breunig, Hans-Peter Kriegel, and Jörg Sander. 1999 · 1999

Earlier work this paper cites.

Comparative Accuracies of Artificial Neural Networks and Discriminant Analysis in Predicting Forest Cover Types from Cartographic Variables

J. A. Blackard and D. J. Dean. 1999 · 1999

Earlier work this paper cites.

Ridge Regression: Biased Estimation for Nonorthogonal Problems

Arthur E. Hoerl and Robert W. Kennard. 2000 · 2000

Earlier work this paper cites.

Random forests

Leo Breiman. 2001 · 2001

Earlier work this paper cites.

Greedy function approximation: A gradient boosting machine

Jerome H. Friedman. 2001 · 2001

Earlier work this paper cites.

Clustering Methods

Lior Rokach and Oded Maimon. 2005 · 2005

Earlier work this paper cites.

Data Quality: Concepts, Methods and Techniques

Carlo Batini and Monica Scannapieco. 2006 · 2006

Earlier work this paper cites.

Quality and Complexity Measures for Data Linkage and Deduplication

P. Christen and K. Goiser. 2007 · 2007

Earlier work this paper cites.

Information theoretic measures for clusterings comparison: is a correction for chance necessary?. In Proceedings of the International Conference on Machine Learning (ICML) , Vol. 382. ACM, 1073–1080

Xuan Vinh Nguyen, Julien Epps, and James Bailey. 2009 · 2009

Earlier work this paper cites.

Gaussian Mixture Models

Douglas A. Reynolds. 2009 · 2009

Earlier work this paper cites.

Information Theoretic Measures for Clusterings Comparison: Variants, Properties, Normalization and Correction for Chance

Xuan Vinh Nguyen, Julien Epps, and James Bailey. 2010 · 2010

Earlier work this paper cites.

Ames, Iowa: Alternative to the Boston Housing Data as an End of Semester Regression Project

Dean De Cock. 2011 · 2011

Earlier work this paper cites.

Scikit-learn: Machine Learning in Python

F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, and E. Duchesnay. 2011 · 2011

Earlier work this paper cites.

Classification in the Presence of Label Noise: A Survey

Benoît Frénay and Michel Verleysen. 2014 · 2013

Earlier work this paper cites.

An Improved k-Prototypes Clustering Algorithm for Mixed Numeric and Categorical Data

J. Ji, T. Bai, C. Zhou, C. Ma, and Z. Wang. 2013 · 2013

Cited alongside, same era.

Auto-encoder Based Data Clustering. In Iberoamerican Congress on Pattern Recognition , Vol. 8258. Springer Berlin Heidelberg, 117–124

Chunfeng Song, Feng Liu, Yongzhen Huang, Liang Wang, and Tieniu Tan. 2013 · 2013

Cited alongside, same era.

Statistical Analysis with Missing Data (second ed.)

R. J. A. Little and D. B. Rubin. 2014 · 2014

Cited alongside, same era.

A Data-driven Approach to Predict the Success of Bank Telemarketing

S. Moro, P. Cortez, and P. Rita. 2014b · 2014

Cited alongside, same era.

Efficient and Robust Automated Machine Learning. In Advances in Neural Information Processing Systems (NeurIPS) . 2962–2970

Matthias Feurer, Aaron Klein, Katharina Eggensperger, Jost Tobias Springenberg, Manuel Blum, and Frank Hutter. 2015 · 2015

Cited alongside, same era.

Datasheets for datasets

Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna M. Wallach, Hal Daumé III, and Kate Crawford. 2021 · 2021

Later among the works it cites.

There is no AI without Data

Christoph Gröger. 2021 · 2021

Later among the works it cites.

Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets

Original

Nitin Gupta, Hima Patel, Shazia Afzal, Naveen Panwar, Ruhi Sharma Mittal, Shanmukha C. Guttula, Abhinav Jain, Lokesh Nagalapatti, Sameep Mehta, Sandeep Hans, Pranay Lohia, Aniya Aggarwal, and Diptikalyan Saha. 2021 · 2021

Later among the works it cites.

CleanML: A Study for Evaluating the Impact of Data Cleaning on ML Classification Tasks. In Proceedings of the International Conference on Data Engineering (ICDE) . 13–24

Peng Li, Xi Rao, Jennifer Blase, Yue Zhang, Xu Chu, and Ce Zhang. 2021 · 2021

Later among the works it cites.

Introduction to Linear Regression Analysis

D. C. Montgomery, E. A. Peck, and G. G. Vining. 2021 · 2021

Later among the works it cites.