| 1 |
Top 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 |
| 2 |
Guest 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 |
| 3 |
Where are the large and difficult datasets?. Adrien Jamain, David J. Hand. Adv. Data Analysis and Classification (3): 25-38 (2009). Web SearchBibTeXDownload |
| 4 |
A recursive partitioning tool for interval prediction. Wojtek J. Krzanowski, David J. Hand. Adv. Data Analysis and Classification (1): 241-254 (2007). Web SearchBibTeXDownload |
| 5 |
Plastic 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 |
| 6 |
Temporally 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 |
| 7 |
Review of The Art of Causal Conjecture. David J. Hand. AI Magazine (19): 131-132 (1998). Web SearchBibTeXDownload |
| 8 |
Practical experience in developing statistical knowledge enhancement systems. David J. Hand. Ann. Math. Artif. Intell. (2): 197-208 (1990). Web SearchBibTeXDownload |
| 9 |
Optimising k. David J. Hand, Wojtek J. Krzanowski. Computational Statistics & Data Analysis (49): 969-973 (2005). Web SearchBibTeXDownload |
| 10 |
A 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 |
| 11 |
Approximate repeated-measures shrinkage. Adam R. Brentnall, Martin Crowder, David J. Hand. Computational Statistics & Data Analysis (55): 1150-1159 (2011). Web SearchBibTeXDownload |
| 12 |
Off-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 |
| 13 |
Significance 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 |
| 14 |
Interactive User-Friendly Interfaces to Statistical Packages. A. M. R. Smith, L. S. Lee, David J. Hand. Comput. J. (26): 199-204 (1983). Web SearchBibTeXDownload |
| 15 |
Streaming 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 |
| 16 |
Prospects 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 |
| 17 |
DECODE: 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 |
| 18 |
Outlier detection special issue. Sanjay Chawla, David J. Hand, Vasant Dhar. Data Min. Knowl. Discov. (20): 189-190 (2010). Web SearchBibTeXDownload |
| 19 |
Data mining from a patient safety database: the lessons learned. James Bentham, David J. Hand. Data Min. Knowl. Discov. (24): 195-217 (2012). Web SearchBibTeXDownload |
| 20 |
Transaction 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 |
| 21 |
Detecting New Kinds of Patient Safety Incidents. James Bentham, David J. Hand. Discovery Science 2009, 51-65. Web SearchBibTeXDownload |
| 22 |
Online optimization for variable selection in data streams. Christoforos Anagnostopoulos, Dimitris K. Tasoulis, David J. Hand, Niall M. Adams. ECAI 2008, 132-136. Web SearchBibTeXDownload |
| 23 |
Dynamic Multi-Armed Bandit with Covariates. Nicos G. Pavlidis, Dimitris K. Tasoulis, Niall M. Adams, David J. Hand. ECAI 2008, 777-778. Web SearchBibTeXDownload |
| 24 |
Averaging Over Decision Stumps. Jonathan J. Oliver, David J. Hand. ECML 1994, 231-241. Web SearchBibTeXDownload |
| 25 |
Handling 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 |
| 26 |
On 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 |
| 27 |
Optimal bipartite scorecards. David J. Hand, So Young Sohn, Yoonseong Kim. Expert Syst. Appl. (29): 684-690 (2005). Web SearchBibTeXDownload |
| 28 |
Book Review: Data Mining and Knowledge Discovery with Evolutionary Programs. David J. Hand. Genetic Programming and Evolvable Machines (4): 287-289 (2003). Web SearchBibTeXDownload |
| 29 |
Significance Tests for Patterns in Continuous Data. Richard J. Bolton, David J. Hand. ICDM 2001, 67-74. Web SearchBibTeXDownload |
| 30 |
Unsupervised Clustering In Streaming Data. Dimitris K. Tasoulis, Niall M. Adams, David J. Hand. ICDM Workshops 2006, 638-642. Web SearchBibTeXDownload |
| 31 |
On Pruning and Averaging Decision Trees. Jonathan J. Oliver, David J. Hand. ICML 1995, 430-437. Web SearchBibTeX |
| 32 |
Supervised Classification Problems: How to Be Both Judge and Jury. Mark G. Kelly, David J. Hand, Niall M. Adams. IDA 1999, 235-244. Web SearchBibTeXDownload |
| 33 |
Adjusted Estimation for the Combination of Classifiers. Bart J. A. Mertens, David J. Hand. IDA 1999, 317-330. Web SearchBibTeXDownload |
| 34 |
The IDA'01 Robot Data Challenge. Paul R. Cohen, Niall M. Adams, David J. Hand. IDA 2001, 378-382. Web SearchBibTeXDownload |
| 35 |
Intelligent Data Analysis: Issues and Opportunities. David J. Hand. IDA 1997, 1-14. Web SearchBibTeXDownload |
| 36 |
Investigating Temporal Patterns of Fault Behaviour within Large Telephony Networks. Dave Yearling, David J. Hand. IDA 2001, 340-349. Web SearchBibTeXDownload |
| 37 |
Data Mining with Products of Trees. José Tomé A. S. Ferreira, David G. T. Denison, David J. Hand. IDA 2001, 167-176. Web SearchBibTeXDownload |
| 38 |
Detecting Groups of Anomalously Similar Objects in Large Data Sets. Zhicheng Zhang, David J. Hand. IDA 2005, 509-519. Web SearchBibTeXDownload |
| 39 |
A Multiclass Extension To The Brownboost Algorithm. Ross A. McDonald, David J. Hand, Idris A. Eckley. IJPRAI (18): 905-931 (2004). Web SearchBibTeXDownload |
| 40 |
Selective fusion of out-of-sequence measurements. Dimitris K. Tasoulis, Niall M. Adams, David J. Hand. Information Fusion (11): 183-191 (2010). Web SearchBibTeXDownload |
| 41 |
Experiments on the edited condensed nearest neighbor rule. David J. Hand, B. G. Batchelor. Inf. Sci. (14): 171-180 (1978). Web SearchBibTeXDownload |
| 42 |
Detecting groups of anomalously similar objects in large data sets. Zhicheng Zhang, David J. Hand. Intell. Data Anal. (10): 473-483 (2006). Web SearchBibTeXDownload |
| 43 |
Intelligent Data Analysis: Issues and Opportunities. David J. Hand. Intell. Data Anal. (2): 67-79 (1998). Web SearchBibTeXDownload |
| 44 |
Advances in intelligent data analysis. David J. Hand, Douglas H. Fisher, Michael R. Berthold. Intell. Data Anal. (4): 93-95 (2000). Web SearchBibTeXDownload |
| 45 |
Adjusted estimation for the combination of classifiers. Bart J. A. Mertens, David J. Hand. Intell. Data Anal. (4): 165-179 (2000). Web SearchBibTeXDownload |
| 46 |
Mining Supervised Classification Performance Studies: A Meta-Analytic Investigation. Adrien Jamain, David J. Hand. J. Classification (25): 87-112 (2008). Web SearchBibTeXDownload |
| 47 |
Likelihood-ratio changepoint features for consumer-behaviour models. Adam R. Brentnall, Martin Crowder, David J. Hand. JORS (61): 462-472 (2010). Web SearchBibTeXDownload |
| 48 |
Mismatched models, wrong results, and dreadful decisions: on choosing appropriate data mining tools. David J. Hand. KDD 2009, 1-2. Web SearchBibTeXDownload |
| 49 |
The Impact of Changing Populations on Classifier Performance. Mark G. Kelly, David J. Hand, Niall M. Adams. KDD 1999, 367-371. Web SearchBibTeXDownload |
| 50 |
Defining the Goals to Optimise Data Mining Performance. Mark G. Kelly, David J. Hand, Niall M. Adams. KDD 1998, 234-238. Web SearchBibTeX |
| 51 |
Pattern 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 |
| 52 |
Measuring classifier performance: a coherent alternative to the area under the ROC curve. David J. Hand. Machine Learning (77): 103-123 (2009). Web SearchBibTeXDownload |
| 53 |
A 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 |
| 54 |
An 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 |
| 55 |
Multiple Classifier Systems Based on Interpretable Linear Classifiers. David J. Hand, Niall M. Adams, Mark G. Kelly. Multiple Classifier Systems 2001, 136-147. Web SearchBibTeXDownload |
| 56 |
Improving the Practice of Classifier Performance Assessment. Niall M. Adams, David J. Hand. Neural Computation (12): 305-311 (2000). Web SearchBibTeXDownload |
| 57 |
Protection or Privacy? Data Mining and Personal Data. David J. Hand. PAKDD 2006, 1-10. Web SearchBibTeXDownload |
| 58 |
Note on parallel universes. Niall M. Adams, David J. Hand. Parallel Universes and Local Patterns 2007. Web SearchBibTeXDownload |
| 59 |
Pattern Detection and Discovery. David J. Hand. Pattern Detection and Discovery 2002, 1-12. Web SearchBibTeXDownload |
| 60 |
Determining Hit Rate in Pattern Search. Richard J. Bolton, David J. Hand, Niall M. Adams. Pattern Detection and Discovery 2002, 36-48. Web SearchBibTeXDownload |
| 61 |
Discriminant 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 |
| 62 |
The multi-class metric problem in nearest neighbour discrimination rules. J. P. Myles, David J. Hand. Pattern Recognition (23): 1291-1297 (1990). Web SearchBibTeXDownload |
| 63 |
Comparing classifiers when the misallocation costs are uncertain. Niall M. Adams, David J. Hand. Pattern Recognition (32): 1139-1147 (1999). Web SearchBibTeXDownload |
| 64 |
lambda-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 |
| 65 |
The Naive Bayes Mystery: A classification detective story. Adrien Jamain, David J. Hand. Pattern Recognition Letters (26): 1752-1760 (2005). Web SearchBibTeXDownload |
| 66 |
Choosing k for two-class nearest neighbour classifiers with unbalanced classes. David J. Hand, Veronica Vinciotti. Pattern Recognition Letters (24): 1555-1562 (2003). Web SearchBibTeXDownload |
| 67 |
Exponentially 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 |
| 68 |
Good 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 |
| 69 |
Strength in Diversity: The Advance of Data Analysis. David J. Hand. PKDD 2004, 18-26. Web SearchBibTeXDownload |
| 70 |
Deciding 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 |
| 71 |
Statistics and Data Mining: Intersecting Disciplines. David J. Hand. SIGKDD Explorations (1): 16-19 (1999). Web SearchBibTeXDownload |
| 72 |
A Classifier Combination Tree Algorithm. Ross A. McDonald, Idris A. Eckley, David J. Hand. SSPR/SPR 2004, 609-617. Web SearchBibTeXDownload |
| 73 |
Optimal predictive partitioning. David J. Hand, Wojtek J. Krzanowski, Martin Crowder. Statistics and Computing (17): 11-21 (2007). Web SearchBibTeXDownload |
| 74 |
Projection techniques for nonlinear principal component analysis. Richard J. Bolton, David J. Hand, Andrew R. Webb. Statistics and Computing (13): 267-276 (2003). Web SearchBibTeXDownload |
| 75 |
It's been great - and the future looks even better. David J. Hand. Statistics and Computing (12): 5 (2002). Web SearchBibTeXDownload |
| 76 |
Simulation and Analysis of Delay Handling Mechanisms in Sensor Networks. Dimitris K. Tasoulis, Niall M. Adams, David J. Hand. UKSim 2008, 661-666. Web SearchBibTeXDownload |
| 77 |
Simulation Studies of Multi-armed Bandits with Covariates. Nicos G. Pavlidis, Dimitris K. Tasoulis, David J. Hand. UKSim 2008, 493-498. Web SearchBibTeXDownload |
