World's Best Scientists 2026 revealed!
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Computer Science
UK
2025

D-Index & Metrics

Computer Science

D-Index
72
Citations
51165
World Ranking
1630
National Ranking
88

Research.com Recognitions

  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award

Overview

David J. Hand is affiliated with Imperial College London in the United Kingdom. Their research primarily spans the field of Computer Science, with a focus on subfields such as Artificial Intelligence, Statistics, Probability and Uncertainty, Statistics and Probability, History and Philosophy of Science, and Computer Vision and Pattern Recognition.

The scientist's work covers several main topics, including:

  • Imbalanced Data Classification Techniques
  • Meta-analysis and systematic reviews
  • Philosophy and History of Science
  • Face and Expression Recognition
  • Machine Learning and Data Classification
  • Anomaly Detection Techniques and Applications
  • Time Series Analysis and Forecasting

David J. Hand has contributed to multiple publications, including a range of recent papers such as:

  • Validating and Verifying AI Systems, 2020, Patterns
  • Notes on the H-measure of classifier performance, 2022, Advances in Data Analysis and Classification
  • F*: an interpretable transformation of the F-measure, 2021, Machine Learning

Additional relevant publications related to the field include works by other authors that appear within the scope of recent discourse in computational statistics and machine learning:

  • A Review of the F-Measure: Its History, Properties, Criticism, and Alternatives, 2023, ACM Computing Surveys
  • Statistical significance and its critics: practicing damaging science, or damaging scientific practice?, 2022, Synthese

The scientist has published books, including the title Dark Data in 2020 through Princeton University Press. This work adds to their contributions in data science and related disciplines.

Frequent publication venues include:

  • Journal of the Royal Statistical Society Series A (Statistics in Society)
  • Statistical Analysis and Data Mining The ASA Data Science Journal
  • Significance
  • arXiv (Cornell University)
  • ACM Computing Surveys

David J. Hand has collaborated regularly with several coauthors, notably:

  • Peter Christen
  • Jia Li
  • Guang Cheng
  • Ranjan Maitra
  • Bertrand Clarke

Best Publications

  • Top 10 algorithms in data mining

    Xindong Wu;Vipin Kumar;J. Ross Quinlan;Joydeep Ghosh

  • Principles of Data Mining

    David J. Hand;Padhraic Smyth;Heikki Mannila

  • Principles of Data Mining

    David J. Hand;Heikki Mannila;Padhraic Smyth

  • A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification Problems

    David J. Hand;Robert J. Till

  • Finite Mixture Distributions

    Brian Everitt;D. J. Hand

  • Discrimination and Classification

    David J. Hand

  • Statistical fraud detection: A review

    Richard J Bolton;David J. Hand

  • Statistical Classification Methods in Consumer Credit Scoring: a Review

    D. J. Hand;W. E. Henley

  • Measuring classifier performance: a coherent alternative to the area under the ROC curve

    David J. Hand

  • Idiot's Bayes—Not So Stupid After All?

    David J. Hand;Keming Yu

  • Construction and Assessment of Classification Rules

    David J. Hand

  • Classifier Technology and the Illusion of Progress

    David J. Hand

  • ROC Curves for Continuous Data

    Wojtek J. Krzanowski;David J. Hand

  • Data Mining: Statistics and More?

    David J. Hand

  • A Handbook of Small Data Sets

    David J. Hand;Fergus Daly;K. McConway;D. Lunn

  • Data mining

    David J. Hand

  • Unsupervised Profiling Methods for Fraud Detection

    Richard J. Bolton;David J. Hand

  • Intelligent Data Analysis: An Introduction

    Michael Berthold;David J. Hand

  • Exponentially weighted moving average charts for detecting concept drift

    Gordon J. Ross;Niall M. Adams;Dimitris K. Tasoulis;David J. Hand

  • A k-nearest-neighbour classifier for assessing consumer credit risk

    W. E. Henley;D. J. Hand

  • Clustering objects on subsets of attributes

    DJ Hand;C Glasbey;D Husmeier;JC Gower

Frequent Co-Authors

Padhraic Smyth
Padhraic Smyth University of California, Irvine
Heikki Mannila
Heikki Mannila Aalto University
Michael R. Berthold
Michael R. Berthold University of Konstanz
Pak C. Sham
Pak C. Sham University of Hong Kong
Geoffrey J. McLachlan
Geoffrey J. McLachlan University of Queensland
Trevor Hastie
Trevor Hastie Stanford University
Robert Tibshirani
Robert Tibshirani Stanford University
Alex Rogers
Alex Rogers University of Oxford
Neil G. Harris
Neil G. Harris University of California, Los Angeles
Erol Gelenbe
Erol Gelenbe Institute of Theoretical and Applied Informatics

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