David J. Hand

According to our database1, David J. Hand authored at least 98 papers between 1978 and 2018.

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Bibliography

2018
Aspects of Data Ethics in a Changing World: Where Are We Now?
Big Data, 2018

Data Science for Financial Applications.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2015
Statistics and computing: the genesis of data science.
Statistics and Computing, 2015

2014
A better Beta for the H measure of classification performance.
Pattern Recognit. Lett., 2014

Selection bias in credit scorecard evaluation.
JORS, 2014

2013
CASOS: a subspace method for anomaly detection in high dimensional astronomical databases.
Statistical Analysis and Data Mining, 2013

When is the area under the receiver operating characteristic curve an appropriate measure of classifier performance?
Pattern Recognit. Lett., 2013

Data, Not Dogma: Big Data, Open Data, and the Opportunities Ahead.
Proceedings of the Advances in Intelligent Data Analysis XII, 2013

2012
Online linear and quadratic discriminant analysis with adaptive forgetting for streaming classification.
Statistical Analysis and Data Mining, 2012

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

Exponentially weighted moving average charts for detecting concept drift.
Pattern Recognit. Lett., 2012

Adaptive consumer credit classification.
JORS, 2012

Data mining from a patient safety database: the lessons learned.
Data Min. Knowl. Discov., 2012

Voyages of Discovery.
Proceedings of the Journeys to Data Mining, 2012

2011
Statistics: An Overview.
Proceedings of the International Encyclopedia of Statistical Science, 2011

lambda-Perceptron: An adaptive classifier for data streams.
Pattern Recognit., 2011

Approximate repeated-measures shrinkage.
Comput. Stat. Data Anal., 2011

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

L'incohérence de l'aire sous la courbe ROC, que faire à ce propos ?
Modulad, 2010

Likelihood-ratio changepoint features for consumer-behaviour models.
JORS, 2010

Selective fusion of out-of-sequence measurements.
Inf. Fusion, 2010

Outlier detection special issue.
Data Min. Knowl. Discov., 2010

Prospects for Bandit Solutions in Sensor Management.
Comput. J., 2010

Streaming Covariance Selection with Applications to Adaptive Querying in Sensor Networks.
Comput. J., 2010

Fault Mining Using Peer Group Analysis.
Proceedings of the Challenges at the Interface of Data Analysis, Computer Science, and Optimization - Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21, 2010

2009
Measuring classifier performance: a coherent alternative to the area under the ROC curve.
Machine Learning, 2009

Transaction aggregation as a strategy for credit card fraud detection.
Data Min. Knowl. Discov., 2009

DECODE: a new method for discovering clusters of different densities in spatial data.
Data Min. Knowl. Discov., 2009

A simple method for screening variables before clustering microarray data.
Comput. Stat. Data Anal., 2009

Where are the large and difficult datasets?
Adv. Data Analysis and Classification, 2009

Temporally adaptive estimation of logistic classifiers on data streams.
Adv. Data Analysis and Classification, 2009

Mismatched models, wrong results, and dreadful decisions: on choosing appropriate data mining tools.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Detecting New Kinds of Patient Safety Incidents.
Proceedings of the Discovery Science, 12th International Conference, 2009

2008
Good methods for coping with missing data in decision trees.
Pattern Recognit. Lett., 2008

Top 10 algorithms in data mining.
Knowl. Inf. Syst., 2008

Performance criteria for plastic card fraud detection tools.
JORS, 2008

Off-the-peg and bespoke classifiers for fraud detection.
Comput. Stat. Data Anal., 2008

Mining Supervised Classification Performance Studies: A Meta-Analytic Investigation.
J. Classification, 2008

Plastic card fraud detection using peer group analysis.
Adv. Data Analysis and Classification, 2008

Simulation and Analysis of Delay Handling Mechanisms in Sensor Networks.
Proceedings of the 10th EUROS/UKSim International Conference on Computer Modelling and Simulation, 2008

Simulation Studies of Multi-armed Bandits with Covariates.
Proceedings of the 10th EUROS/UKSim International Conference on Computer Modelling and Simulation, 2008

Deciding what to observe next: adaptive variable selection for regression in multivariate data streams.
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

Dynamic Multi-Armed Bandit with Covariates.
Proceedings of the ECAI 2008, 2008

Online optimization for variable selection in data streams.
Proceedings of the ECAI 2008, 2008

2007
Optimal predictive partitioning.
Statistics and Computing, 2007

Handling selection bias when choosing actions in retail credit applications.
Eur. J. Oper. Res., 2007

On optimal intervention for customer lifetime value.
Eur. J. Oper. Res., 2007

A recursive partitioning tool for interval prediction.
Adv. Data Analysis and Classification, 2007

A Review of Anomaly Detection on Graphs.
Proceedings of the Mining Massive Data Sets for Security, 2007

Statistical Techniques for Fraud Detection, Prevention and Assessment.
Proceedings of the Mining Massive Data Sets for Security, 2007

Note on parallel universes.
Proceedings of the Parallel Universes and Local Patterns, 01.05. - 04.05.2007, 2007

2006
Detecting groups of anomalously similar objects in large data sets.
Intell. Data Anal., 2006

Protection or Privacy? Data Mining and Personal Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

Unsupervised Clustering In Streaming Data.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005
The Naive Bayes Mystery: A classification detective story.
Pattern Recognit. Lett., 2005

Optimal bipartite scorecards.
Expert Syst. Appl., 2005

Optimising k.
Comput. Stat. Data Anal., 2005

Modern data analysis tools in personal financial services: a quantitative revolution.
Proceedings of the Data Mining et Apprentissage Statistique : application en assurance, 2005

2004
A Multiclass Extension To The Brownboost Algorithm.
IJPRAI, 2004

Significance tests for unsupervised pattern discovery in large continuous multivariate data sets.
Comput. Stat. Data Anal., 2004

A Classifier Combination Tree Algorithm.
Proceedings of the Structural, 2004

Strength in Diversity: The Advance of Data Analysis.
Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

Pattern Discovery Tools for Detecting Cheating in Student Coursework.
Proceedings of the Local Pattern Detection, 2004

2003
Projection techniques for nonlinear principal component analysis.
Statistics and Computing, 2003

Choosing k for two-class nearest neighbour classifiers with unbalanced classes.
Pattern Recognit. Lett., 2003

Book Review: Data Mining and Knowledge Discovery with Evolutionary Programs.
Genetic Programming and Evolvable Machines, 2003

Guest Editorial.
Data Min. Knowl. Discov., 2003

An Empirical Comparison of Three Boosting Algorithms on Real Data Sets with Artificial Class Noise.
Proceedings of the Multiple Classifier Systems, 4th International Workshop, 2003

2002
It's been great - and the future looks even better.
Statistics and Computing, 2002

Pattern Detection and Discovery.
Proceedings of the Pattern Detection and Discovery, 2002

Determining Hit Rate in Pattern Search.
Proceedings of the Pattern Detection and Discovery, 2002

2001
A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification Problems.
Machine Learning, 2001

Multiple Classifier Systems Based on Interpretable Linear Classifiers.
Proceedings of the Multiple Classifier Systems, Second International Workshop, 2001

Investigating Temporal Patterns of Fault Behaviour within Large Telephony Networks.
Proceedings of the Advances in Intelligent Data Analysis, 4th International Conference, 2001

Data Mining with Products of Trees.
Proceedings of the Advances in Intelligent Data Analysis, 4th International Conference, 2001

The IDA'01 Robot Data Challenge.
Proceedings of the Advances in Intelligent Data Analysis, 4th International Conference, 2001

Significance Tests for Patterns in Continuous Data.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

Principles of Data Mining
MIT Press, ISBN: 9780262332521, 2001

2000
Improving the Practice of Classifier Performance Assessment.
Neural Computation, 2000

Adjusted estimation for the combination of classifiers.
Intell. Data Anal., 2000

Advances in intelligent data analysis.
Intell. Data Anal., 2000

An improved measure for comparing diagnostic tests.
Comp. in Bio. and Med., 2000

1999
Statistics and Data Mining: Intersecting Disciplines.
SIGKDD Explorations, 1999

Editorial.
Statistics and Computing, 1999

Comparing classifiers when the misallocation costs are uncertain.
Pattern Recognit., 1999

The Impact of Changing Populations on Classifier Performance.
Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

Supervised Classification Problems: How to Be Both Judge and Jury.
Proceedings of the Advances in Intelligent Data Analysis, Third International Symposium, 1999

1998
Discriminant analysis when the classes arise from a continuum.
Pattern Recognit., 1998

Intelligent Data Analysis: Issues and Opportunities.
Intell. Data Anal., 1998

Review of The Art of Causal Conjecture.
AI Magazine, 1998

Defining the Goals to Optimise Data Mining Performance.
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

1995
On Pruning and Averaging Decision Trees.
Proceedings of the Machine Learning, 1995

1994
Averaging Over Decision Stumps.
Proceedings of the Machine Learning: ECML-94, 1994

1990
The multi-class metric problem in nearest neighbour discrimination rules.
Pattern Recognit., 1990

Practical experience in developing statistical knowledge enhancement systems.
Ann. Math. Artif. Intell., 1990

Introduction.
Ann. Math. Artif. Intell., 1990

1983
Interactive User-Friendly Interfaces to Statistical Packages.
Comput. J., 1983

1978
Experiments on the edited condensed nearest neighbor rule.
Inf. Sci., 1978


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