David J. Hand

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2012
77Data mining from a patient safety database: the lessons learned. James Bentham, David J. Hand. Data Min. Knowl. Discov. (24): 195-217 (2012). Web SearchBibTeXDownload
76Exponentially weighted moving average charts for detecting concept drift. Gordon J. Ross, Niall M. Adams, Dimitris K. Tasoulis, David J. Hand. Pattern Recognition Letters (33): 191-198 (2012). Web SearchBibTeXDownload
2011
75Approximate repeated-measures shrinkage. Adam R. Brentnall, Martin Crowder, David J. Hand. Computational Statistics & Data Analysis (55): 1150-1159 (2011). Web SearchBibTeXDownload
74lambda-Perceptron: An adaptive classifier for data streams. Nicos G. Pavlidis, Dimitris K. Tasoulis, Niall M. Adams, David J. Hand. Pattern Recognition (44): 78-96 (2011). Web SearchBibTeXDownload
2010
73Streaming Covariance Selection with Applications to Adaptive Querying in Sensor Networks. Christoforos Anagnostopoulos, Niall M. Adams, David J. Hand. Comput. J. (53): 1401-1414 (2010). Web SearchBibTeXDownload
72Prospects for Bandit Solutions in Sensor Management. Nicos G. Pavlidis, Niall M. Adams, David Nicholson, David J. Hand. Comput. J. (53): 1370-1383 (2010). Web SearchBibTeXDownload
71Outlier detection special issue. Sanjay Chawla, David J. Hand, Vasant Dhar. Data Min. Knowl. Discov. (20): 189-190 (2010). Web SearchBibTeXDownload
70Selective fusion of out-of-sequence measurements. Dimitris K. Tasoulis, Niall M. Adams, David J. Hand. Information Fusion (11): 183-191 (2010). Web SearchBibTeXDownload
69Likelihood-ratio changepoint features for consumer-behaviour models. Adam R. Brentnall, Martin Crowder, David J. Hand. JORS (61): 462-472 (2010). Web SearchBibTeXDownload
2009
68Temporally adaptive estimation of logistic classifiers on data streams. Christoforos Anagnostopoulos, Dimitris K. Tasoulis, Niall M. Adams, David J. Hand. Adv. Data Analysis and Classification (3): 243-261 (2009). Web SearchBibTeXDownload
67Where are the large and difficult datasets?. Adrien Jamain, David J. Hand. Adv. Data Analysis and Classification (3): 25-38 (2009). Web SearchBibTeXDownload
66A simple method for screening variables before clustering microarray data. Wojtek J. Krzanowski, David J. Hand. Computational Statistics & Data Analysis (53): 2747-2753 (2009). Web SearchBibTeXDownload
65Transaction aggregation as a strategy for credit card fraud detection. Christopher Whitrow, David J. Hand, Piotr Juszczak, David J. Weston, Niall M. Adams. Data Min. Knowl. Discov. (18): 30-55 (2009). Web SearchBibTeXDownload
64DECODE: a new method for discovering clusters of different densities in spatial data. Tao Pei, Ajay Jasra, David J. Hand, A-Xing Zhu, Chenghu Zhou. Data Min. Knowl. Discov. (18): 337-369 (2009). Web SearchBibTeXDownload
63Detecting New Kinds of Patient Safety Incidents. James Bentham, David J. Hand. Discovery Science 2009, 51-65. Web SearchBibTeXDownload
62Mismatched models, wrong results, and dreadful decisions: on choosing appropriate data mining tools. David J. Hand. KDD 2009, 1-2. Web SearchBibTeXDownload
61Measuring classifier performance: a coherent alternative to the area under the ROC curve. David J. Hand. Machine Learning (77): 103-123 (2009). Web SearchBibTeXDownload
2008
60Plastic card fraud detection using peer group analysis. David J. Weston, David J. Hand, Niall M. Adams, Christopher Whitrow, Piotr Juszczak. Adv. Data Analysis and Classification (2): 45-62 (2008). Web SearchBibTeXDownload
59Off-the-peg and bespoke classifiers for fraud detection. Piotr Juszczak, Niall M. Adams, David J. Hand, Christopher Whitrow, David J. Weston. Computational Statistics & Data Analysis (52): 4521-4532 (2008). Web SearchBibTeXDownload
58Dynamic Multi-Armed Bandit with Covariates. Nicos G. Pavlidis, Dimitris K. Tasoulis, Niall M. Adams, David J. Hand. ECAI 2008, 777-778. Web SearchBibTeXDownload
57Online optimization for variable selection in data streams. Christoforos Anagnostopoulos, Dimitris K. Tasoulis, David J. Hand, Niall M. Adams. ECAI 2008, 132-136. Web SearchBibTeXDownload
56Mining Supervised Classification Performance Studies: A Meta-Analytic Investigation. Adrien Jamain, David J. Hand. J. Classification (25): 87-112 (2008). Web SearchBibTeXDownload
55Top 10 algorithms in data mining. 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. Knowl. Inf. Syst. (14): 1-37 (2008). Cited by 78Web SearchBibTeXDownload
54Good methods for coping with missing data in decision trees. Bhekisipho Twala, M. C. Jones, David J. Hand. Pattern Recognition Letters (29): 950-956 (2008). Web SearchBibTeXDownload
53Deciding what to observe next: adaptive variable selection for regression in multivariate data streams. Christoforos Anagnostopoulos, Niall M. Adams, David J. Hand. SAC 2008, 961-965. Web SearchBibTeXDownload
52Simulation and Analysis of Delay Handling Mechanisms in Sensor Networks. Dimitris K. Tasoulis, Niall M. Adams, David J. Hand. UKSim 2008, 661-666. Web SearchBibTeXDownload
51Simulation Studies of Multi-armed Bandits with Covariates. Nicos G. Pavlidis, Dimitris K. Tasoulis, David J. Hand. UKSim 2008, 493-498. Web SearchBibTeXDownload
2007
50A recursive partitioning tool for interval prediction. Wojtek J. Krzanowski, David J. Hand. Adv. Data Analysis and Classification (1): 241-254 (2007). Web SearchBibTeXDownload
49On optimal intervention for customer lifetime value. Martin Crowder, David J. Hand, Wojtek J. Krzanowski. European Journal of Operational Research (183): 1550-1559 (2007). Web SearchBibTeXDownload
48Handling selection bias when choosing actions in retail credit applications. I-Ding Wu, David J. Hand. European Journal of Operational Research (183): 1560-1568 (2007). Web SearchBibTeXDownload
47Note on parallel universes. Niall M. Adams, David J. Hand. Parallel Universes and Local Patterns 2007. Web SearchBibTeXDownload
46Optimal predictive partitioning. David J. Hand, Wojtek J. Krzanowski, Martin Crowder. Statistics and Computing (17): 11-21 (2007). Web SearchBibTeXDownload
2006
45Unsupervised Clustering In Streaming Data. Dimitris K. Tasoulis, Niall M. Adams, David J. Hand. ICDM Workshops 2006, 638-642. Web SearchBibTeXDownload
44Detecting groups of anomalously similar objects in large data sets. Zhicheng Zhang, David J. Hand. Intell. Data Anal. (10): 473-483 (2006). Web SearchBibTeXDownload
43Protection or Privacy? Data Mining and Personal Data. David J. Hand. PAKDD 2006, 1-10. Web SearchBibTeXDownload
2005
42Optimising k. David J. Hand, Wojtek J. Krzanowski. Computational Statistics & Data Analysis (49): 969-973 (2005). Web SearchBibTeXDownload
41Optimal bipartite scorecards. David J. Hand, So Young Sohn, Yoonseong Kim. Expert Syst. Appl. (29): 684-690 (2005). Web SearchBibTeXDownload
40Detecting Groups of Anomalously Similar Objects in Large Data Sets. Zhicheng Zhang, David J. Hand. IDA 2005, 509-519. Web SearchBibTeXDownload
39The Naive Bayes Mystery: A classification detective story. Adrien Jamain, David J. Hand. Pattern Recognition Letters (26): 1752-1760 (2005). Web SearchBibTeXDownload
2004
38Significance tests for unsupervised pattern discovery in large continuous multivariate data sets. Richard J. Bolton, David J. Hand, Martin Crowder. Computational Statistics & Data Analysis (46): 57-79 (2004). Web SearchBibTeXDownload
37A Multiclass Extension To The Brownboost Algorithm. Ross A. McDonald, David J. Hand, Idris A. Eckley. IJPRAI (18): 905-931 (2004). Web SearchBibTeXDownload
36Pattern Discovery Tools for Detecting Cheating in Student Coursework. David J. Hand, Niall M. Adams, Nick A. Heard. Local Pattern Detection 2004, 39-52. Web SearchBibTeXDownload
35Strength in Diversity: The Advance of Data Analysis. David J. Hand. PKDD 2004, 18-26. Web SearchBibTeXDownload
34A Classifier Combination Tree Algorithm. Ross A. McDonald, Idris A. Eckley, David J. Hand. SSPR/SPR 2004, 609-617. Web SearchBibTeXDownload
2003
33Guest Editorial. Darrell Conklin, Tadeusz A. Wysocki, Hamid Sharif, L. C. Gundersen, P. P. Leahy, W. Hill, Jyh-Horng Wen, Shiuh-Jeng Wang, Yuh-Ren Tsai, Keh-Ming Lu. Data Min. Knowl. Discov. (7): 239-240 (2003). Cited by 2Web SearchBibTeXDownload
32Book Review: Data Mining and Knowledge Discovery with Evolutionary Programs. David J. Hand. Genetic Programming and Evolvable Machines (4): 287-289 (2003). Web SearchBibTeXDownload
31An Empirical Comparison of Three Boosting Algorithms on Real Data Sets with Artificial Class Noise. Ross A. McDonald, David J. Hand, Idris A. Eckley. Multiple Classifier Systems 2003, 35-44. Web SearchBibTeXDownload
30Choosing k for two-class nearest neighbour classifiers with unbalanced classes. David J. Hand, Veronica Vinciotti. Pattern Recognition Letters (24): 1555-1562 (2003). Web SearchBibTeXDownload
29Projection techniques for nonlinear principal component analysis. Richard J. Bolton, David J. Hand, Andrew R. Webb. Statistics and Computing (13): 267-276 (2003). Web SearchBibTeXDownload
2002
28Determining Hit Rate in Pattern Search. Richard J. Bolton, David J. Hand, Niall M. Adams. Pattern Detection and Discovery 2002, 36-48. Web SearchBibTeXDownload
27Pattern Detection and Discovery. David J. Hand. Pattern Detection and Discovery 2002, 1-12. Web SearchBibTeXDownload
26It's been great - and the future looks even better. David J. Hand. Statistics and Computing (12): 5 (2002). Web SearchBibTeXDownload
2001
25Significance Tests for Patterns in Continuous Data. Richard J. Bolton, David J. Hand. ICDM 2001, 67-74. Web SearchBibTeXDownload
24Data Mining with Products of Trees. José Tomé A. S. Ferreira, David G. T. Denison, David J. Hand. IDA 2001, 167-176. Web SearchBibTeXDownload
23Investigating Temporal Patterns of Fault Behaviour within Large Telephony Networks. Dave Yearling, David J. Hand. IDA 2001, 340-349. Web SearchBibTeXDownload
22The IDA'01 Robot Data Challenge. Paul R. Cohen, Niall M. Adams, David J. Hand. IDA 2001, 378-382. Web SearchBibTeXDownload
21A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification Problems. David J. Hand, Robert J. Till. Machine Learning (45): 171-186 (2001). Web SearchBibTeXDownload
20Multiple Classifier Systems Based on Interpretable Linear Classifiers. David J. Hand, Niall M. Adams, Mark G. Kelly. Multiple Classifier Systems 2001, 136-147. Web SearchBibTeXDownload
2000
19Advances in intelligent data analysis. David J. Hand, Douglas H. Fisher, Michael R. Berthold. Intell. Data Anal. (4): 93-95 (2000). Web SearchBibTeXDownload
18Adjusted estimation for the combination of classifiers. Bart J. A. Mertens, David J. Hand. Intell. Data Anal. (4): 165-179 (2000). Web SearchBibTeXDownload
17Improving the Practice of Classifier Performance Assessment. Niall M. Adams, David J. Hand. Neural Computation (12): 305-311 (2000). Web SearchBibTeXDownload
1999
16Adjusted Estimation for the Combination of Classifiers. Bart J. A. Mertens, David J. Hand. IDA 1999, 317-330. Web SearchBibTeXDownload
15Supervised Classification Problems: How to Be Both Judge and Jury. Mark G. Kelly, David J. Hand, Niall M. Adams. IDA 1999, 235-244. Web SearchBibTeXDownload
14The Impact of Changing Populations on Classifier Performance. Mark G. Kelly, David J. Hand, Niall M. Adams. KDD 1999, 367-371. Web SearchBibTeXDownload
13Comparing classifiers when the misallocation costs are uncertain. Niall M. Adams, David J. Hand. Pattern Recognition (32): 1139-1147 (1999). Web SearchBibTeXDownload
12Statistics and Data Mining: Intersecting Disciplines. David J. Hand. SIGKDD Explorations (1): 16-19 (1999). Web SearchBibTeXDownload
1998
11Review of The Art of Causal Conjecture. David J. Hand. AI Magazine (19): 131-132 (1998). Web SearchBibTeXDownload
10Intelligent Data Analysis: Issues and Opportunities. David J. Hand. Intell. Data Anal. (2): 67-79 (1998). Web SearchBibTeXDownload
9Defining the Goals to Optimise Data Mining Performance. Mark G. Kelly, David J. Hand, Niall M. Adams. KDD 1998, 234-238. Web SearchBibTeX
8Discriminant analysis when the classes arise from a continuum. David J. Hand, Jonathan J. Oliver, A. Daniel Lunn. Pattern Recognition (31): 641-650 (1998). Web SearchBibTeXDownload
1997
7Intelligent Data Analysis: Issues and Opportunities. David J. Hand. IDA 1997, 1-14. Web SearchBibTeXDownload
1995
6On Pruning and Averaging Decision Trees. Jonathan J. Oliver, David J. Hand. ICML 1995, 430-437. Web SearchBibTeX
1994
5Averaging Over Decision Stumps. Jonathan J. Oliver, David J. Hand. ECML 1994, 231-241. Web SearchBibTeXDownload
1990
4Practical experience in developing statistical knowledge enhancement systems. David J. Hand. Ann. Math. Artif. Intell. (2): 197-208 (1990). Web SearchBibTeXDownload
3The multi-class metric problem in nearest neighbour discrimination rules. J. P. Myles, David J. Hand. Pattern Recognition (23): 1291-1297 (1990). Web SearchBibTeXDownload
1983
2Interactive User-Friendly Interfaces to Statistical Packages. A. M. R. Smith, L. S. Lee, David J. Hand. Comput. J. (26): 199-204 (1983). Web SearchBibTeXDownload
1978
1Experiments on the edited condensed nearest neighbor rule. David J. Hand, B. G. Batchelor. Inf. Sci. (14): 171-180 (1978). Web SearchBibTeXDownload
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