David J. Hand

发表

Online linear and quadratic discriminant analysis with adaptive forgetting for streaming classification

Christoforos Anagnostopoulos, Dimitris K. Tasoulis, Niall M. Adams, 2012, Stat. Anal. Data Min..

Fault Mining Using Peer Group Analysis

Niall M. Adams, David J. Hand, David John Weston, 2010, GfKl.

Prospects for Bandit Solutions in Sensor Management

Niall M. Adams, Nicos G. Pavlidis, David J. Hand, 2010, Comput. J..

3. Collecting good data

David J. Hand, D. Hand, 2008 .

Trusted smart statistics: The challenge of extracting usable aggregate information from new data sources

David J. Hand, Maurizio Vichi, D. Hand, 2019, Statistical Journal of the IAOS.

Academic Obsessions and Classification Realities: Ignoring Practicalities in Supervised Classification

David J. Hand, D. Hand, 2004 .

Editorial

David J. Hand, D. Hand, 1996, Stat. Comput..

Justifying adverse actions with new scorecard technologies

David J. Hand, Keming Yu, 2009 .

A Multiclass Extension To The Brownboost Algorithm

David J. Hand, Idris A. Eckley, Ross A. McDonald, 2004, Int. J. Pattern Recognit. Artif. Intell..

Pattern detection and discovery : ESF Exploratory Workshop, London, UK, September 16-19, 2002 : proceedings

Niall M. Adams, David J. Hand, Richard J. Bolton, 2002 .

Artificial intelligence and statistics: synergy in action?

David J. Hand, D. Hand, 1994 .

Modeling and Reasoning with Bayesian Networks by Adnan Darwiche

David J. Hand, D. Hand, 2012 .

An improved measure for comparing diagnostic tests

Niall M. Adams, David J. Hand, 2000, Comput. Biol. Medicine.

Adaptive consumer credit classification

Dimitris K. Tasoulis, Niall M. Adams, Nicos G. Pavlidis, 2012, J. Oper. Res. Soc..

What is the Purpose of Statistical Modelling?

David J. Hand, D. Hand, 2019, Issue 1.

On optimal intervention for customer lifetime value

David J. Hand, Wojtek J. Krzanowski, Martin Crowder, 2007, Eur. J. Oper. Res..

Understanding Complex Datasets: Data Mining with Matrix Decompositions by David B. Skillicorn

David J. Hand, D. Hand, 2008 .

Intelligent Agents for Disaster Management

Sarvapali D. Ramchurn, Nicholas R. Jennings, Erol Gelenbe, 2008 .

Knowledge Discovery from Data Streams by João Gama

David J. Hand, D. Hand, 2012 .

Proceedings of the ESF Exploratory Workshop on Pattern Detection and Discovery

Niall M. Adams, David J. Hand, Richard J. Bolton, 2002 .

Improving the Practice of Classifier Performance Assessment

Niall M. Adams, David J. Hand, D. Hand, 2000, Neural Computation.

A Review of Anomaly Detection on Graphs

David J. Hand, Nicholas A. Heard, Kiriaki Platanioti, 2007, NATO ASI Mining Massive Data Sets for Security.

Online optimization for variable selection in data streams

Christoforos Anagnostopoulos, Dimitris K. Tasoulis, Niall M. Adams, 2008, ECAI.

Advances in Intelligent Data Analysis

David J. Hand, Michael R. Berthold, Douglas H. Fisher, 2000, Lecture Notes in Computer Science.

Intelligent Data Analysis: An Introduction

David J. Hand, Michael R. Berthold, D. Hand, 2005 .

2. Simple descriptions

David J. Hand, D. Hand, 2008 .

Simulation and Analysis of Delay Handling Mechanisms in Sensor Networks

Dimitris K. Tasoulis, Niall M. Adams, David J. Hand, 2008, Tenth International Conference on Computer Modeling and Simulation (uksim 2008).

Statistical fraud detection: A review

David J. Hand, Richard J. Bolton, D. Hand, 2002 .

Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining

Daniel A. Keim, David J. Hand, Randy Goebel, 2002, KDD.

Likelihood-ratio changepoint features for consumer-behaviour models

David J. Hand, Martin Crowder, Adam R. Brentnall, 2010, J. Oper. Res. Soc..

Statistics: An Overview

David J. Hand, D. Hand, 2011, International Encyclopedia of Statistical Science.

Voyages of Discovery

David J. Hand, 2012, Journeys to Data Mining.

Data Organization and Databases

Heikki Mannila, David J. Hand, Padhraic Smyth, 2001 .

Deciding what to observe next: adaptive variable selection for regression in multivariate data streams

Christoforos Anagnostopoulos, Niall M. Adams, David J. Hand, 2008, SAC '08.

Advances in intelligent data analysis : third International Symposium, IDA-99, Amsterdam, The Netherlands, August 9 - 11, 1999; proceedings

David J. Hand, Joost N. Kok, Michael R. Berthold, 1999 .

Interactive User-Friendly Interfaces to Statistical Packages

David J. Hand, A. M. R. Smith, L. S. Lee, 1983, Comput. J..

Classification and Anomaly Detection for Astronomical Survey Data

David J. Hand, Axel Gandy, Daniel J. Mortlock, 2013 .

Predictive Modeling for Classification

Heikki Mannila, David J. Hand, Padhraic Smyth, 2001 .

A Handbook of Small Data Sets

David J. Hand, Kevin McConway, Fergus Daly, 1993 .

ROC Curves for Continuous Data

David J. Hand, Wojtek J. Krzanowski, D. Hand, 2009 .

Investigating Temporal Patterns of Fault Behaviour within Large Telephony Networks

David J. Hand, Dave Yearling, 2001, IDA.

Measurements and their Uncertainties: A Practical Guide to Modern Error Analysis by Ifan G. Hughes, Thomas P. A. Hase

David J. Hand, D. Hand, 2011 .

Measuring Diagnostic Accuracy of Statistical Prediction Rules

David J. Hand, D. Hand, David J. Hand, 2001 .

Data Clustering: Theory, Algorithms, and Applications by Guojun Gan, Chaoqun Ma, Jianhong Wu

David J. Hand, D. Hand, 2008 .

Proceedings of the Third International Symposium on Advances in Intelligent Data Analysis

David J. Hand, Michael R. Berthold, Joost N. Kok, 1999 .

Search and Optimization Methods

Heikki Mannila, David J. Hand, Padhraic Smyth, 2001 .

Protection or Privacy? Data Mining and Personal Data

David J. Hand, D. Hand, 2006, PAKDD.

Adjusted estimation for the combination of classifiers

David J. Hand, Bart J. A. Mertens, D. Hand, 1999, Intell. Data Anal..

Principles of Data Mining

Heikki Mannila, David J. Hand, Padhraic Smyth, 2001, Undergraduate Topics in Computer Science.

Top 10 algorithms in data mining

Philip S. Yu, Xindong Wu, Qiang Yang, 2007, Knowledge and Information Systems.

Guest Editorial

Daniel A. Keim, David J. Hand, Raymond T. Ng, 2004, Data Mining and Knowledge Discovery.

A Statistical Approach to Neural Networks for Pattern Recognition by Robert A. Dunne

David J. Hand, D. Hand, 2008 .

Models and Patterns

Heikki Mannila, David J. Hand, Padhraic Smyth, 2001 .

Data mining from a patient safety database: the lessons learned

David J. Hand, James Bentham, D. Hand, 2011, Data Mining and Knowledge Discovery.

ON THE GRAPHICAL ANALYSIS OF PDF ESTIMATORS FOR PATTERN RECOGNITION

B. G. Batchelor, David J. Hand, D. Hand, 1975 .

Mining Supervised Classification Performance Studies: A Meta-Analytic Investigation

David J. Hand, Adrien Jamain, D. Hand, 2008, J. Classif..

Direct versus indirect credit scoring classifications

David J. Hand, H G Li, 2002, J. Oper. Res. Soc..

Selection bias in credit scorecard evaluation

Niall M. Adams, David J. Hand, D. Hand, 2014, J. Oper. Res. Soc..

Overcoming selectivity bias in evaluating new fraud detection systems for revolving credit operations

David J. Hand, Martin Crowder, 2012 .

Text Mining: Classification, Clustering, and Applications edited by Ashok Srivastava, Mehran Sahami

David J. Hand, D. Hand, 2010 .

Statistical Expert Systems

David J. Hand, D. Hand, 1994 .

7. Statistical computing

David J. Hand, D. Hand, 2008 .

Assessing the Performance of Classification Methods

David J. Hand, D. Hand, 2012 .

Further inference on single curves

David J. Hand, Wojtek J. Krzanowski, D. Hand, 2009 .

A Bayesian approach to star–galaxy classification

David J. Hand, Axel Gandy, Daniel J. Mortlock, 2010, 1011.5770.

The impact of changing populations on classifier performance

Niall M. Adams, David J. Hand, Mark G. Kelly, 1999, KDD '99.

A recursive partitioning tool for interval prediction

David J. Hand, Wojtek J. Krzanowski, 2007, Adv. Data Anal. Classif..

Defining the Goals to Optimise Data Mining Performance

Niall M. Adams, David J. Hand, Mark G. Kelly, 1998, KDD.

Readings in Decision Analysis

David J. Hand, D. Hand, 1990 .

A Simulation Study of Indirect Prognostic Classification

Niall M. Adams, David J. Hand, Hua Gui Li, 1998, COMPSTAT.

On Pruning and Averaging Decision Trees

David J. Hand, Jonathan J. Oliver, D. Hand, 1995, ICML.

Data Science for Financial Applications

David J. Hand, 2018, KDD.

DECODE: a new method for discovering clusters of different densities in spatial data

Chenghu Zhou, Tao Pei, A-Xing Zhu, 2009, Data Mining and Knowledge Discovery.

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

David J. Hand, Robert J. Till, D. Hand, 2001, Machine Learning.

The IDA'01 Robot Data Challenge

Paul R. Cohen, Niall M. Adams, David J. Hand, 2001, IDA.

Mismatched models, wrong results, and dreadful decisions: on choosing appropriate data mining tools

David J. Hand, 2009, KDD.

Probability and Information: An Integrated Approach, Second Edition by David Applebaum

David J. Hand, D. Hand, 2008 .

Supervised classification and tunnel vision

David J. Hand, D. Hand, 2005 .

Temporally-Adaptive Linear Classification for Handling Population Drift in Credit Scoring

Christoforos Anagnostopoulos, Dimitris K. Tasoulis, Niall M. Adams, 2010, COMPSTAT.

The development of interactive graphical software for a unified biplot methodology

David J. Hand, John C. Gower, R. F. Ngouenet, 1997 .

Strength in Diversity: The Advance of Data Analysis

David J. Hand, 2004, ECML.

Statistics and computing: the genesis of data science

David J. Hand, D. Hand, 2015, Statistics and Computing.

Selective fusion of out-of-sequence measurements

Dimitris K. Tasoulis, Niall M. Adams, David J. Hand, 2010, Inf. Fusion.

Workshop data sets

David J. Hand, D. Hand, 1991 .

Outlier detection special issue

Vasant Dhar, David J. Hand, Sanjay Chawla, 2009, Data Mining and Knowledge Discovery.

Measurement scales as metadata

David J. Hand, D. Hand, 1993 .

Practical experience in developing statistical knowledge enhancement systems

David J. Hand, D. Hand, 1990, Annals of Mathematics and Artificial Intelligence.

Kernel Discriminant Analysis

David J. Hand, D. Hand, 1983 .

Temporal Data Mining by Theophano Mitsa

David J. Hand, D. Hand, 2011 .

Good methods for coping with missing data in decision trees

David J. Hand, Bhekisipho Twala, M. C. Jones, 2008, Pattern Recognit. Lett..

AI and computer power

David J. Hand, 1994 .

Multiple Classifier Systems Based on Interpretable Linear Classifiers

Niall M. Adams, David J. Hand, Mark G. Kelly, 2001, Multiple Classifier Systems.

Note on parallel universes

Niall M. Adams, David J. Hand, 2007, Parallel Universes and Local Patterns.

Data Mining with Products of Trees

David J. Hand, David G. T. Denison, José Tomé A. S. Ferreira, 2001, IDA.

How to select good classification methods

David J. Hand, 2007 .

Handling selection bias when choosing actions in retail credit applications

David J. Hand, I-Ding Wu, 2007, Eur. J. Oper. Res..

Approximate repeated-measures shrinkage

David J. Hand, Martin Crowder, Adam R. Brentnall, 2011, Comput. Stat. Data Anal..

Machine Learning: An Algorithmic Perspective by Stephen Marsland

David J. Hand, D. Hand, 2010 .

Pattern Discovery Tools for Detecting Cheating in Student Coursework

Niall M. Adams, David J. Hand, Nick A. Heard, 2004, Local Pattern Detection.

A Classifier Combination Tree Algorithm

David J. Hand, Idris A. Eckley, Ross A. McDonald, 2004, SSPR/SPR.

Finite Mixture and Markov Switching Models by Sylvia Frühwirth-Schnatter

David J. Hand, D. Hand, 2007 .

5. Estimation and inference

David J. Hand, D. Hand, 2008 .

Significance tests for patterns in continuous data

David J. Hand, Richard J. Bolton, D. Hand, 2001, Proceedings 2001 IEEE International Conference on Data Mining.

Statistical strategy: step 1

David J. Hand, D. Hand, 1994 .

Data Mining for Fun and Profit

Niall M. Adams, David J. Hand, Gordon Blunt, 2000 .

Evaluating Statistical and Machine Learning Supervised Classification Methods

David J. Hand, D. Hand, 2018 .

Patterns in statistical strategy

David J. Hand, D. Hand, 1986 .

Supervised classification with structured class definitions

Niall M. Adams, David J. Hand, Hua Gui Li, 2001 .

Big data and data sharing

David J. Hand, D. Hand, 2015 .

The Naive Bayes Mystery: A classification detective story

David J. Hand, Adrien Jamain, D. Hand, 2005, Pattern Recognit. Lett..

A better Beta for the H measure of classification performance

Christoforos Anagnostopoulos, David J. Hand, D. Hand, 2012, Pattern Recognit. Lett..

Intelligent Data Analysis: Issues and Opportunities

David J. Hand, D. Hand, 1998, Intell. Data Anal..

Classification and Computers: Shifting the Focus

David J. Hand, 1996 .

Review of The Art of Causal Conjecture

David J. Hand, D. Hand, 1998, AI Mag..

Pattern Detection and Discovery

David J. Hand, D. Hand, 2002, Pattern Detection and Discovery.

The ALADDIN project : intelligent agents for disaster management

Sarvapali D. Ramchurn, Nicholas R. Jennings, Erol Gelenbe, 2008 .

Statistical Analysis of Network Data: Methods and Models by Eric D. Kolaczyk

David J. Hand, D. Hand, 2010 .

New Drug Development: Design, Methodology, and Analysis by J. Rick Turner

David J. Hand, D. Hand, 2008 .

The multi-class metric problem in nearest neighbour discrimination rules

David J. Hand, J. P. Myles, D. Hand, 1990, Pattern Recognit..

Modelling Binary Data

David J. Hand, D. Hand, 1993 .

When is the area under the receiver operating characteristic curve an appropriate measure of classifier performance?

Christoforos Anagnostopoulos, David J. Hand, D. Hand, 2013, Pattern Recognit. Lett..

Significance tests for unsupervised pattern discovery in large continuous multivariate data sets

David J. Hand, Richard J. Bolton, Martin Crowder, 2004, Comput. Stat. Data Anal..

Optimal bipartite scorecards

David J. Hand, So Young Sohn, Yoonseong Kim, 2005, Expert Syst. Appl..

The Laws of Coincidence

David J. Hand, 2010, COMPSTAT.

L'incohérence de l'aire sous la courbe ROC, que faire à ce propos ?

David J. Hand, David J. Hand, 2010, Monde des Util. Anal. Données.

Simulation Studies of Multi-armed Bandits with Covariates (Invited Paper)

Dimitris K. Tasoulis, Nicos G. Pavlidis, David J. Hand, 2008, Tenth International Conference on Computer Modeling and Simulation (uksim 2008).

It's been great—and the future looks even better

David J. Hand, 2002, Stat. Comput..

Fraud Detection in Telecommunications and Banking: Discussion of Becker, Volinsky, and Wilks (2010) and Sudjianto et al. (2010)

David J. Hand, 2010, Technometrics.

Construction of a k-nearest-neighbour credit-scoring system

David J. Hand, William Henley, D. Hand, 1997 .

Plastic card fraud detection using peer group analysis

Niall M. Adams, David J. Hand, Piotr Juszczak, 2008, Adv. Data Anal. Classif..

Statistics and data mining: intersecting disciplines

David J. Hand, D. Hand, 1999, SKDD.

Advances in intelligent data analysis

David J. Hand, Douglas H. Fisher, Michael R. Berthold, 2000 .

An Empirical Comparison of Three Boosting Algorithms on Real Data Sets with Artificial Class Noise

David J. Hand, Idris A. Eckley, Ross A. McDonald, 2003, Multiple Classifier Systems.

Visualizing Time: Designing Graphical Representations for Statistical Data by Graham Wills

David J. Hand, D. Hand, 2012 .

Exponentially weighted moving average charts for detecting concept drift pdf

Dimitris K. Tasoulis, Niall M. Adams, David J. Hand, 2012, Pattern Recognit. Lett..

Measurement and Data

Heikki Mannila, David J. Hand, Padhraic Smyth, 2019, Safety and Quality in Medical Transport Systems.

Score Functions for Data Mining Algorithms

Heikki Mannila, David J. Hand, Padhraic Smyth, 2001 .

Discussion contribution on ‘Data mining reconsidered: encompassing and the general‐to‐specific approach to specification search’ by Hoover and Perez

David J. Hand, 1999 .

A Systematic Overeview of Data Mining Algorithms

Heikki Mannila, David J. Hand, Padhraic Smyth, 2001 .

Discriminant analysis when the classes arise from a continuum

David J. Hand, Jonathan J. Oliver, A. D. Lunn, 1998, Pattern Recognit..

Intelligent Data Analysis: Issues and Opportunities

David J. Hand, 1998, Intell. Data Anal..

Statistics and Computing

David J. Hand, D. Hand, 2006 .

lambda-Perceptron: An adaptive classifier for data streams

Niall M. Adams, Nicos G. Pavlidis, David J. Hand, 2011, Pattern Recognit..

Validating and Verifying AI Systems

David J. Hand, Shakeel Khan, D. Hand, 2020, Patterns.

Intelligent Data Analysis and Deep Understanding

David J. Hand, D. Hand, 1999 .

Guest Editorial

Daniel A. Keim, David J. Hand, Raymond T. Ng, 2020, Antiquity.

Classifier Technology and the Illusion of Progress

David J. Hand, D. Hand, 2006, math/0606441.

Advances in intelligent data analysis : 4th International Conference, IDA 2001, Cascais, Portugal, September 13-15, 2001 : proceedings

Niall M. Adams, David J. Hand, Douglas H. Fisher, 2001 .

Optimising k

David J. Hand, Wojtek J. Krzanowski, D. Hand, 2005, Comput. Stat. Data Anal..

A Statistical Knowledge Enhancement System

David J. Hand, D. Hand, 1987 .

Off-the-peg and bespoke classifiers for fraud detection

Niall M. Adams, David J. Hand, Piotr Juszczak, 2008, Comput. Stat. Data Anal..

Detecting New Kinds of Patient Safety Incidents

David J. Hand, James Bentham, 2009, Discovery Science.

Statistical Techniques for Fraud Detection, Prevention and Assessment

David J. Hand, David John Weston, D. Hand, 2007, NATO ASI Mining Massive Data Sets for Security.

Intelligent Data Analysis, An Introduction, 2nd editon

David J. Hand, Michael R. Berthold, D. Hand, 2003 .

Supervised Classification Problems: How to Be Both Judge and Jury

Niall M. Adams, David J. Hand, Mark G. Kelly, 1999, IDA.

8 - Pattern Recognition

David J. Hand, 2005 .

Kernel quantile-based estimation of expected shortfall

David J. Hand, Keming Yu, A Allay, 2010 .

Erratum to "Exponentially weighted moving average charts for detecting concept drift" [Pattern Recognition Lett. 33(2) (2012) 191-198]

Dimitris K. Tasoulis, Niall M. Adams, David J. Hand, 2012, Pattern Recognit. Lett..

Mining for classes and patterns in behavioural data

Niall M. Adams, David J. Hand, Robert Till, 2001, J. Oper. Res. Soc..

Detecting groups of anomalously similar objects in large data sets

David J. Hand, Zhicheng Zhang, D. Hand, 2005, Intell. Data Anal..

Dynamic Multi-Armed Bandit with Covariates

Dimitris K. Tasoulis, Niall M. Adams, Nicos G. Pavlidis, 2008, European Conference on Artificial Intelligence.

Temporally adaptive estimation of logistic classifiers on data streams

Christoforos Anagnostopoulos, Dimitris K. Tasoulis, Niall M. Adams, 2009, Adv. Data Anal. Classif..

Finding Patterns and Rules

Heikki Mannila, David J. Hand, Padhraic Smyth, 2001 .

Choosing k for two-class nearest neighbour classifiers with unbalanced classes

David J. Hand, Veronica Vinciotti, D. Hand, 2003, Pattern Recognit. Lett..

Editorial

David J. Hand, D. Hand, 1999, Stat. Comput..

Streaming Covariance Selection with Applications to Adaptive Querying in Sensor Networks

Christoforos Anagnostopoulos, Niall M. Adams, David J. Hand, 2010, Comput. J..

Synthetic Datasets for Statistical Disclosure Control: Theory and Implementation by Jörg Drechsler

David J. Hand, D. Hand, 2012 .

Statistical Inference: An Integrated Bayesian/Likelihood Approach by Murray Aitkin

David J. Hand, D. Hand, 2011 .

Determining Hit Rate in Pattern Search

Niall M. Adams, David J. Hand, Richard J. Bolton, 2002, Pattern Detection and Discovery.

Data, Not Dogma: Big Data, Open Data, and the Opportunities Ahead

David J. Hand, 2013, IDA.

16 Statistical applications of artificial intelligence

William A. Gale, Anthony E. Kelly, David J. Hand, 1993, Computational Statistics.

Strength in Diversity: The Advance of Data Analysis

David J. Hand, 2004, PKDD.

The Data Sets

David J. Hand, A. D. Lunn, Kevin McConway, 1994 .

Data Mining the Web: Uncovering Patterns in Web Content, Structure, and Usage by Zdravko Markov, Daniel T. Larose

David J. Hand, D. Hand, 2007 .

Book Review: Data Mining and Knowledge Discovery with Evolutionary Programs

David J. Hand, D. Hand, 2003, Genetic Programming and Evolvable Machines.

Mixture Models: Inference and Applications to Clustering

David J. Hand, D. Hand, D. N. Geary, 1989 .

Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner by Galit Shmueli, Nitin R. Patel, Peter C. Bruce

David J. Hand, D. Hand, 2007 .

Data Mining

Graham J. Williams, David J. Hand, Yee Ling Boo, 2000, Communications in Computer and Information Science.

A simple method for screening variables before clustering microarray data

David J. Hand, Wojtek J. Krzanowski, 2009, Comput. Stat. Data Anal..

A Practitioner's Guide to Resampling for Data Analysis, Data Mining, and Modeling by Philip I. Good

David J. Hand, D. Hand, 2013 .

Projection techniques for nonlinear principal component analysis

David J. Hand, Richard J. Bolton, Andrew R. Webb, 2003, Stat. Comput..

Optimal predictive partitioning

David J. Hand, Wojtek J. Krzanowski, Martin Crowder, 2007, Stat. Comput..

Where are the large and difficult datasets?

David J. Hand, Adrien Jamain, D. Hand, 2009, Adv. Data Anal. Classif..

Averaging Over Decision Stumps

David J. Hand, Jonathan J. Oliver, D. Hand, 1994, ECML.

Neural Networks and Related Methods for Classification - Discussion

Trevor Hastie, Robert Tibshirani, David J. Hand, 1994 .

Experiments on the edited condensed nearest neighbor rule

David J. Hand, B. G. Batchelor, D. Hand, 1978, Inf. Sci..

Data Mining: Methods and Models by D. T. Larose

David J. Hand, D. Hand, 2008 .

CASOS: a subspace method for anomaly detection in high dimensional astronomical databases

David J. Hand, Axel Gandy, Daniel J. Mortlock, 2013, Stat. Anal. Data Min..

Retrieval by Content

Heikki Mannila, David J. Hand, Padhraic Smyth, 2001 .

Construction and Assessment of Classification Rules

David J. Hand, D. Hand, 1997 .

Comparing classifiers when the misallocation costs are uncertain

Niall M. Adams, David J. Hand, D. Hand, 1999, Pattern Recognit..

Transaction aggregation as a strategy for credit card fraud detection

Niall M. Adams, David J. Hand, Piotr Juszczak, 2009, Data Mining and Knowledge Discovery.

Unsupervised Clustering In Streaming Data

Dimitris K. Tasoulis, Niall M. Adams, David J. Hand, 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).

A statistical model for the temporal pattern of individual automated teller machine withdrawals

David J. Hand, Martin Crowder, Adam R. Brentnall, 2008 .

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

David J. Hand, D. Hand, 2009, Machine Learning.

Modern data analysis tools in personal financial services: a quantitative revolution

David J. Hand, 2005, DMAS.

Trustworthiness of statistical inference

David J. Hand, D. Hand, 2021, Journal of the Royal Statistical Society: Series A (Statistics in Society).

F*: an interpretable transformation of the F-measure

David J. Hand, Peter Christen, Nishadi Kirielle, 2021, Mach. Learn..

Building back better needs better use of statistics

David J. Hand, Paul Allin, D. Hand, 2021, Significance.

Forecasting with Exponential Smoothing: The State Space Approach by Rob J. Hyndman, Anne B. Koehler, J. Keith Ord, Ralph D. Snyder

David J. Hand, D. Hand, 2009 .

Defining attributes for scorecard construction in credit scoring

Niall M. Adams, David J. Hand, D. Hand, 2000 .

Handbook of Partial Least Squares: Concepts, Methods and Applications by Vincenzo Esposito Vinzi, Wynne W. Chin, Jörg Henseler, Huiwen Wang

David J. Hand, D. Hand, 2012 .

The Statistical Consultant in Action.

David J. Hand, B. S. Everitt, Derek Bissell, 1988 .

“Things which ought to be expected can seem quite extraordinary if you've got the wrong model”

David J. Hand, Phillip Watkins, D. Hand, 2014 .

Inference about rejected cases in discriminant analysis

David J. Hand, W. E. Henley, 1994 .

Mining Personal Banking Data to Detect Fraud

David J. Hand, D. Hand, 2007 .

New statistics for old?—measuring the wellbeing of the UK

David J. Hand, Paul Allin, D. Hand, 2017 .

Finding 'superclassifications' with an acceptable misclassification rate

David J. Hand, D. Hand, P. C. Taylor, 1999 .

8. Multivariate Analysis of Ecological Communities

David J. Hand, P. G. N. Digby, R. A. Kempton, 1988 .

Statistical Detection and Surveillance of Geographic Clusters

David J. Hand, D. Hand, 2010 .

Wonderful Examples, but Let’s not Close Our Eyes

David J. Hand, 2014 .

Graphs as Structural Models. 2nd Edn.

David J. Hand, D. Hand, E. Godehart, 1992 .

Statistics in Finance

David J. Hand, Saul D. Jacka, D. Hand, 2010 .

PRELIMINARY NOTE ON THE CLASSIFICATION OF VECTORS WITH SOME UNKNOWN DESCRIPTORS

B. G. Batchelor, David J. Hand, 1975 .

Statistics and the theory of measurement

David J. Hand, D. Hand, 1996 .

Short communication: Optimising k-means clustering results with standard software packages

David J. Hand, Wojtek J. Krzanowski, D. Hand, 2005 .

Multivariate Analysis of Variance and Repeated Measures: A practical approach for behavioural scientists

David J. Hand, C. C. Taylor, 2011 .

Analysis of Repeated Measures

David J. Hand, Martin Crowder, J. L. Rosenberger, 1990 .

Should Delayed Measurements Always be Incorporated in Filtering?

Dimitris K. Tasoulis, David J. Hand, D. Hand, 2007, 2007 15th International Conference on Digital Signal Processing.

A shrunken leaving-one-out estimator of error rate

David J. Hand, 1987 .

Modern Data Analysis: A Clash of Paradigms

David J. Hand, D. Hand, 2002 .

Graphical Models in Applied Multivariate Statistics.

David J. Hand, J. Whittaker, J. Whittaker, 1990 .

Elements of Statistics

David J. Hand, A. D. Lunn, Kevin McConway, 1996 .

Can reject inference ever work

David J. Hand, D. Hand, W. Henley, 1993 .

Multivariate Analysis Of Variance And Repeated Measures

David J. Hand, C. C. Taylor, D. Hand, 1987 .

A Monte Carlo study of the 632 bootstrap estimator of error rate

David J. Hand, Wojtek J. Krzanowski, G. M. Fitzmaurice, 1991 .

Statistical Reasoning with Imprecise Probabilities

David J. Hand, 1993 .

Measuring customer quality in retail banking

David J. Hand, Martin Crowder, D. Hand, 2005 .

Artificial Intelligence and Psychiatry

David J. Hand, 1985 .

Discriminant Analysis, Linear

David J. Hand, 2005 .

On comparing two treatments

David J. Hand, 1992 .

Statistical Analysis and Modelling of Spatial Point Patterns by Janine Illian, Antti Penttinen, Helga Stoyan, Dietrich Stoyan

David J. Hand, D. Hand, 2008 .

Fraud Detection in Telecommunications and Banking: Discussion of Becker et al and Sudjianto et al

David J. Hand, 2010 .

Modern statistics: the myth and the magic

David J. Hand, D. Hand, 2009 .

Pattern Discovery and Detection: A Unified Statistical Methodology

David J. Hand, Richard J. Bolton, D. Hand, 2004 .

Synergy in Drug Combinations

David J. Hand, D. Hand, 2000 .

Mixtures of normal distributions

David J. Hand, Brian Everitt, 1981 .

Segmentation into predictable classes

David J. Hand, D. Hand, Thomas C. Benton, 2002 .

Analysis of Repeated Measures

David J. Hand, R. M. Loynes, Martin Crowder, 1990 .

Branch and Bound in Statistical Data Analysis

David J. Hand, D. Hand, 1981 .

Predictive-sequential forecasting system development for cash machine stocking

David J. Hand, Martin Crowder, Adam R. Brentnall, 2010 .

Error rate estimation by mixture decomposition

David J. Hand, D. Hand, G. M. Fitzmaurice, 1987 .

Testing Statistical Hypotheses of Equivalence and Noninferiority, Second Edition by Stefan Wellek

David J. Hand, D. Hand, 2012 .

Analysis of Repeated Measures

David J. Hand, Martin Crowder, 1990 .

ASSESSING ERROR RATE ESTIMATORS: THE LEAVE-ONE-OUT METHOD RECONSIDERED

David J. Hand, Wojtek J. Krzanowski, D. Hand, 1997 .

Analysis of Multivariate Social Science Data, Second Edition by David J. Bartholomew, Fiona Steele, Irini Moustaki, Jane Galbraith

David J. Hand, D. Hand, 2008 .

Size matters : how measurement defines our world

David J. Hand, 2005 .

Assessing classification rules

David J. Hand, 1994 .

Why data mining is more than statistics writ large

David J. Hand, 1999 .