| 2009 |
|---|
| 64 | EE | Christopher Whitrow,
David J. Hand,
Piotr Juszczak,
David J. Weston,
Niall M. Adams:
Transaction aggregation as a strategy for credit card fraud detection.
Data Min. Knowl. Discov. 18(1): 30-55 (2009) |
| 63 | EE | Tao Pei,
Ajay Jasra,
David J. Hand,
A-Xing Zhu,
Chenghu Zhou:
DECODE: a new method for discovering clusters of different densities in spatial data.
Data Min. Knowl. Discov. 18(3): 337-369 (2009) |
| 2008 |
|---|
| 62 | EE | Christoforos Anagnostopoulos,
Dimitris K. Tasoulis,
David J. Hand,
Niall M. Adams:
Online optimization for variable selection in data streams.
ECAI 2008: 132-136 |
| 61 | EE | Nicos G. Pavlidis,
Dimitris K. Tasoulis,
Niall M. Adams,
David J. Hand:
Dynamic Multi-Armed Bandit with Covariates.
ECAI 2008: 777-778 |
| 60 | EE | Christoforos Anagnostopoulos,
Niall M. Adams,
David J. Hand:
Deciding what to observe next: adaptive variable selection for regression in multivariate data streams.
SAC 2008: 961-965 |
| 59 | EE | Piotr Juszczak,
Niall M. Adams,
David J. Hand,
Christopher Whitrow,
David J. Weston:
Off-the-peg and bespoke classifiers for fraud detection.
Computational Statistics & Data Analysis 52(9): 4521-4532 (2008) |
| 58 | EE | Xindong Wu,
Vipin Kumar,
J. Ross Quinlan,
Joydeep Ghosh,
Qiang Yang,
Hiroshi Motoda,
Geoffrey J. McLachlan,
Angus F. M. Ng,
Bing Liu,
Philip S. Yu,
Zhi-Hua Zhou,
Michael Steinbach,
David J. Hand,
Dan Steinberg:
Top 10 algorithms in data mining.
Knowl. Inf. Syst. 14(1): 1-37 (2008) |
| 57 | EE | Bhekisipho Twala,
M. C. Jones,
David J. Hand:
Good methods for coping with missing data in decision trees.
Pattern Recognition Letters 29(7): 950-956 (2008) |
| 2007 |
|---|
| 56 | EE | Niall M. Adams,
David J. Hand:
Note on parallel universes.
Parallel Universes and Local Patterns 2007 |
| 55 | EE | Martin Crowder,
David J. Hand,
Wojtek J. Krzanowski:
On optimal intervention for customer lifetime value.
European Journal of Operational Research 183(3): 1550-1559 (2007) |
| 54 | EE | I-Ding Wu,
David J. Hand:
Handling selection bias when choosing actions in retail credit applications.
European Journal of Operational Research 183(3): 1560-1568 (2007) |
| 53 | EE | David J. Hand,
Wojtek J. Krzanowski,
Martin Crowder:
Optimal predictive partitioning.
Statistics and Computing 17(1): 11-21 (2007) |
| 2006 |
|---|
| 52 | EE | Dimitris K. Tasoulis,
Niall M. Adams,
David J. Hand:
Unsupervised Clustering In Streaming Data.
ICDM Workshops 2006: 638-642 |
| 51 | EE | David J. Hand:
Protection or Privacy? Data Mining and Personal Data.
PAKDD 2006: 1-10 |
| 50 | EE | Zhicheng Zhang,
David J. Hand:
Detecting groups of anomalously similar objects in large data sets.
Intell. Data Anal. 10(5): 473-483 (2006) |
| 2005 |
|---|
| 49 | EE | Zhicheng Zhang,
David J. Hand:
Detecting Groups of Anomalously Similar Objects in Large Data Sets.
IDA 2005: 509-519 |
| 48 | EE | David J. Hand,
Wojtek J. Krzanowski:
Optimising k.
Computational Statistics & Data Analysis 49(4): 969-973 (2005) |
| 47 | EE | David J. Hand,
So Young Sohn,
Yoonseong Kim:
Optimal bipartite scorecards.
Expert Syst. Appl. 29(3): 684-690 (2005) |
| 46 | EE | Adrien Jamain,
David J. Hand:
The Naive Bayes Mystery: A classification detective story.
Pattern Recognition Letters 26(11): 1752-1760 (2005) |
| 2004 |
|---|
| 45 | EE | David J. Hand:
Strength in Diversity: The Advance of Data Analysis.
ECML 2004: 18-26 |
| 44 | EE | David J. Hand,
Niall M. Adams,
Nick A. Heard:
Pattern Discovery Tools for Detecting Cheating in Student Coursework.
Local Pattern Detection 2004: 39-52 |
| 43 | EE | David J. Hand:
Strength in Diversity: The Advance of Data Analysis.
PKDD 2004: 18-26 |
| 42 | EE | Ross A. McDonald,
Idris A. Eckley,
David J. Hand:
A Classifier Combination Tree Algorithm.
SSPR/SPR 2004: 609-617 |
| 41 | EE | Richard J. Bolton,
David J. Hand,
Martin Crowder:
Significance tests for unsupervised pattern discovery in large continuous multivariate data sets.
Computational Statistics & Data Analysis 46(1): 57-79 (2004) |
| 40 | EE | Ross A. McDonald,
David J. Hand,
Idris A. Eckley:
A Multiclass Extension To The Brownboost Algorithm.
IJPRAI 18(5): 905-931 (2004) |
| 2003 |
|---|
| 39 | | Michael R. Berthold,
David J. Hand:
Intelligent Data Analysis, An Introduction, 2nd editon
Springer 2003 |
| 38 | EE | Ross A. McDonald,
David J. Hand,
Idris A. Eckley:
An Empirical Comparison of Three Boosting Algorithms on Real Data Sets with Artificial Class Noise.
Multiple Classifier Systems 2003: 35-44 |
| 37 | EE | David J. Hand,
Daniel A. Keim,
Raymond T. Ng:
Guest Editorial.
Data Min. Knowl. Discov. 7(3): 239-240 (2003) |
| 36 | EE | David J. Hand,
Daniel A. Keim,
Raymond T. Ng:
Guest Editorial.
Data Min. Knowl. Discov. 7(4): 347-348 (2003) |
| 35 | EE | David J. Hand:
Book Review: Data Mining and Knowledge Discovery with Evolutionary Programs.
Genetic Programming and Evolvable Machines 4(3): 287-289 (2003) |
| 34 | EE | David J. Hand,
Veronica Vinciotti:
Choosing k for two-class nearest neighbour classifiers with unbalanced classes.
Pattern Recognition Letters 24(9-10): 1555-1562 (2003) |
| 33 | EE | Richard J. Bolton,
David J. Hand,
Andrew R. Webb:
Projection techniques for nonlinear principal component analysis.
Statistics and Computing 13(3): 267-276 (2003) |
| 2002 |
|---|
| 32 | | David J. Hand,
Niall M. Adams,
Richard J. Bolton:
Pattern Detection and Discovery, ESF Exploratory Workshop, London, UK, September 16-19, 2002, Proceedings
Springer 2002 |
| 31 | EE | David J. Hand:
Pattern Detection and Discovery.
Pattern Detection and Discovery 2002: 1-12 |
| 30 | EE | Richard J. Bolton,
David J. Hand,
Niall M. Adams:
Determining Hit Rate in Pattern Search.
Pattern Detection and Discovery 2002: 36-48 |
| 29 | EE | David J. Hand:
It's been great - and the future looks even better.
Statistics and Computing 12(1): 5 (2002) |
| 2001 |
|---|
| 28 | | Frank Hoffmann,
David J. Hand,
Niall M. Adams,
Douglas H. Fisher,
Gabriela Guimarães:
Advances in Intelligent Data Analysis, 4th International Conference, IDA 2001, Cascais, Portugal, September 13-15, 2001, Proceedings
Springer 2001 |
| 27 | EE | Richard J. Bolton,
David J. Hand:
Significance Tests for Patterns in Continuous Data.
ICDM 2001: 67-74 |
| 26 | EE | José Tomé A. S. Ferreira,
David G. T. Denison,
David J. Hand:
Data Mining with Products of Trees.
IDA 2001: 167-176 |
| 25 | EE | Dave Yearling,
David J. Hand:
Investigating Temporal Patterns of Fault Behaviour within Large Telephony Networks.
IDA 2001: 340-349 |
| 24 | EE | Paul R. Cohen,
Niall M. Adams,
David J. Hand:
The IDA'01 Robot Data Challenge.
IDA 2001: 378-382 |
| 23 | EE | David J. Hand,
Niall M. Adams,
Mark G. Kelly:
Multiple Classifier Systems Based on Interpretable Linear Classifiers.
Multiple Classifier Systems 2001: 136-147 |
| 22 | | David J. Hand,
Robert J. Till:
A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification Problems.
Machine Learning 45(2): 171-186 (2001) |
| 2000 |
|---|
| 21 | EE | Bart J. A. Mertens,
David J. Hand:
Adjusted estimation for the combination of classifiers.
Intell. Data Anal. 4(2): 165-179 (2000) |
| 20 | EE | David J. Hand,
Douglas H. Fisher,
Michael R. Berthold:
Advances in intelligent data analysis.
Intell. Data Anal. 4(2): 93-95 (2000) |
| 19 | | Niall M. Adams,
David J. Hand:
Improving the Practice of Classifier Performance Assessment.
Neural Computation 12(2): 305-311 (2000) |
| 1999 |
|---|
| 18 | | David J. Hand,
Joost N. Kok,
Michael R. Berthold:
Advances in Intelligent Data Analysis, Third International Symposium, IDA-99, Amsterdam, The Netherlands, August 1999, Proceedings
Springer 1999 |
| 17 | EE | Mark G. Kelly,
David J. Hand,
Niall M. Adams:
Supervised Classification Problems: How to Be Both Judge and Jury.
IDA 1999: 235-244 |
| 16 | EE | Bart J. A. Mertens,
David J. Hand:
Adjusted Estimation for the Combination of Classifiers.
IDA 1999: 317-330 |
| 15 | EE | Mark G. Kelly,
David J. Hand,
Niall M. Adams:
The Impact of Changing Populations on Classifier Performance.
KDD 1999: 367-371 |
| 14 | EE | Niall M. Adams,
David J. Hand:
Comparing classifiers when the misallocation costs are uncertain.
Pattern Recognition 32(7): 1139-1147 (1999) |
| 13 | EE | David J. Hand:
Statistics and Data Mining: Intersecting Disciplines.
SIGKDD Explorations 1(1): 16-19 (1999) |
| 1998 |
|---|
| 12 | | Mark G. Kelly,
David J. Hand,
Niall M. Adams:
Defining the Goals to Optimise Data Mining Performance.
KDD 1998: 234-238 |
| 11 | | David J. Hand:
Review of The Art of Causal Conjecture.
AI Magazine 19(1): 131-132 (1998) |
| 10 | EE | David J. Hand:
Intelligent Data Analysis: Issues and Opportunities.
Intell. Data Anal. 2(1-4): 67-79 (1998) |
| 9 | EE | David J. Hand,
Jonathan J. Oliver,
A. Daniel Lunn:
Discriminant analysis when the classes arise from a continuum.
Pattern Recognition 31(5): 641-650 (1998) |
| 1997 |
|---|
| 8 | EE | David J. Hand:
Intelligent Data Analysis: Issues and Opportunities.
IDA 1997: 1-14 |
| 1995 |
|---|
| 7 | | Jonathan J. Oliver,
David J. Hand:
On Pruning and Averaging Decision Trees.
ICML 1995: 430-437 |
| 1994 |
|---|
| 6 | | Jonathan J. Oliver,
David J. Hand:
Averaging Over Decision Stumps.
ECML 1994: 231-241 |
| 1990 |
|---|
| 5 | | David J. Hand:
Introduction.
Ann. Math. Artif. Intell. 2: 1-3 (1990) |
| 4 | | David J. Hand:
Practical experience in developing statistical knowledge enhancement systems.
Ann. Math. Artif. Intell. 2: 197-208 (1990) |
| 3 | EE | J. P. Myles,
David J. Hand:
The multi-class metric problem in nearest neighbour discrimination rules.
Pattern Recognition 23(11): 1291-1297 (1990) |
| 1983 |
|---|
| 2 | | A. M. R. Smith,
L. S. Lee,
David J. Hand:
Interactive User-Friendly Interfaces to Statistical Packages.
Comput. J. 26(3): 199-204 (1983) |
| 1978 |
|---|
| 1 | EE | David J. Hand,
B. G. Batchelor:
Experiments on the edited condensed nearest neighbor rule.
Inf. Sci. 14(3): 171-180 (1978) |
