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Conference Paper
2019

Elastic bands across the path: a new framework and method to lower bound DTW

Tan, C. W., Petitjean, F. & Webb, G. I., 2019, Proceedings of the 2019 SIAM International Conference on Data Mining. Berger-Wolf, T. & Chawla, N. (eds.). Philadelphia PA USA: Society for Industrial & Applied Mathematics (SIAM), p. 522-530 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

2 Citations (Scopus)

Exploring data quantity requirements for Domain Adaptation in the classification of satellite image time series

Lucas, B., Pelletier, C., Inglada, J., Schmidt, D., Webb, G. I. & Petitjean, F., 2019, MultiTemp 2019, 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images, August 5-7, 2019 – Shanghai, China. Bovolo, F. & Liu, S. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 4 p. 8866898

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

Using Sentinel-2 image time series to map the State of Victoria, Australia

Pelletier, C., Ji, Z., Hagolle, O., Morse-McNabb, E., Sheffield, K., Webb, G. I. & Petitjean, F., 2019, 2019 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp 2019). Bovolo, F. & Liu, S. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 13-16 4 p. 8866921

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

2018

Efficient and effective accelerated hierarchical higher-order logistic regression for large data quantities

Zaidi, N. A., Petitjean, F. & Webb, G. I., 2018, 2018 SIAM International Conference on Data Mining, SDM 2018: San Diego Marriott Mission Valley San Diego, California USA May 3-5, 2018. Ester, M. & Pedreschi, D. (eds.). Philadelphia PA USA: Society for Industrial & Applied Mathematics (SIAM), p. 459-467 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Efficient search of the best warping window for Dynamic time Warping

Tan, C. W., Herrmann, M., Forestier, G., Webb, G. I. & Petitjean, F., 2018, 2018 SIAM International Conference on Data Mining, SDM 2018: San Diego Marriott Mission Valley San Diego, California USA May 3-5, 2018. Ester, M. & Pedreschi, D. (eds.). Philadelphia PA USA: Society for Industrial & Applied Mathematics (SIAM), p. 225-233 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

11 Citations (Scopus)

Extremely fast decision tree

Manapragada, C., Webb, G. I. & Salehi, M., 2018, KDD' 2018 - Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining : August 19-23, 2018, London, United Kingdom . Lin, C-J. & Xiong, H. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 1953-1962 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

9 Citations (Scopus)

Robust Bayesian kernel machine via Stein variational gradient descent for big data

Nguyen, K., Le, T., Nguyen, T. D., Phung, D. & Webb, G. I., 19 Jul 2018, KDD'18: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Lin, C-J. & Xiong, H. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 2003-2011 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

2 Citations (Scopus)

Tamping effectiveness prediction using supervised machine learning techniques

Tan, C. W., Webb, G. I., Petitjean, F. & Reichl, P., 2018, ICRT 2017 - Railway Development, Operations, and Maintenance: Proceedings of the First International Conference on Rail Transportation 2017 - July 10–12, 2017 Chengdu, Sichuan Province, China. Zhai, W. & Wang, K. C. P. (eds.). Reston Virginia USA: American Society of Civil Engineers, p. 1010-1023 14 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

2017

A fast trust-region Newton method for softmax logistic regression

Zaidi, N. & Webb, G. I., 2017, Proceedings of the 17th SIAM International Conference on Data Mining: Houston, Texas, USA, 27 – 29 April , 2017. Chawla, N. & Wang, W. (eds.). Philadelphia, PA: Society for Industrial & Applied Mathematics (SIAM), p. 705-713 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

1 Citation (Scopus)

Generating synthetic time series to augment sparse datasets

Forestier, G., Petitjean, F., Dau, H. A., Webb, G. I. & Keogh, E., 15 Dec 2017, Proceedings: 17th IEEE International Conference on Data Mining. Raghavan, V., Aluru, S., Karypis, G., Miele, L. & Wu, X. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 865-870 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

15 Citations (Scopus)

Indexing and classifying gigabytes of time series under time warping

Tan, C. W., Webb, G. I. & Petitjean, F., 1 Jan 2017, Proceedings of the 17th SIAM International Conference on Data Mining: Houston, Texas, USA, 27 – 29 April , 2017. Chawla, N. & Wang, W. (eds.). Philadelphia, PA: Society for Industrial & Applied Mathematics (SIAM), p. 282-290 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

13 Citations (Scopus)

Specious rules: An efficient and effective unifying method for removing misleading and uninformative patterns in association rule mining

Hämäläinen, W. & Webb, G. I., 2017, Proceedings of the 17th SIAM International Conference on Data Mining: Houston, Texas, USA, 27 – 29 April , 2017. Chawla, N. & Wang, W. (eds.). Philadelphia, PA: Society for Industrial & Applied Mathematics (SIAM), p. 309-317 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

3 Citations (Scopus)
2016

A multiple test correction for streams and cascades of statistical hypothesis tests

Webb, G. I. & Petitjean, F., 13 Aug 2016, KDD'16 / KDD 2016: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 13-17, 2016, San Francisco, CA, USA. Smola, A. & Aggarwal, C. (eds.). New York, NY, USA: Association for Computing Machinery (ACM), p. 1255-1264 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

8 Citations (Scopus)

Preconditioning an artificial neural network using Naive Bayes

Zaidi, N. A., Petitjean, F. & Webb, G. I., 2016, Advances in Knowledge Discovery and Data Mining: 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, Proceedings, Part I. Bailey, J., Khan, L., Washio, T., Dobbie, G. & Huang, J. Z. (eds.). Switzerland: Springer, Vol. 1. p. 341-353 13 p. (Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science); vol. 9651).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

3 Citations (Scopus)

Scalable learning of graphical models

Petitjean, F. & Webb, G. I., 13 Aug 2016, KDD'16 / KDD 2016: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA. Smola, A. & Aggarwal, C. (eds.). New York, NY, USA: Association for Computing Machinery (ACM), p. 2131-2132 2 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperOtherpeer-review

1 Citation (Scopus)
2015

Scaling log-linear analysis to datasets with thousands of variables

Petitjean, F. & Webb, G. I. B., 2015, Proceedings of the 2015 SIAM International Conference on Data Mining (SDM 2015). Venkatasubramanian, S. & Ye, J. (eds.). Philadelphia PA USA: Society for Industrial and Applied Mathematics, p. 469 - 477 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

4 Citations (Scopus)
2014

A statistically efficient and scalable method for log-linear analysis of high-dimensional data

Petitjean, F., Allison, L. & Webb, G. I., 2014, Proceedings, 14th IEEE International Conference on Data Mining (ICDM 2014). Kumar, R., Toivonen, H., Pei, J., Huang, J. Z. & Wu, X. (eds.). Los Alamitos CA USA: IEEE, Institute of Electrical and Electronics Engineers, p. 480 - 489 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

4 Citations (Scopus)

Contrary to popular belief incremental discretization can be sound, computationally efficient and extremely useful for streaming data

Webb, G. I. B., 2014, Proceedings, 14th IEEE International Conference on Data Mining (ICDM 2014). Kumar, R., Toivonen, H., Pei, J., Huang, J. Z. & Wu, X. (eds.). Los Alamitos CA USA: IEEE Computer Society, p. 1031 - 1036 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

6 Citations (Scopus)

Dynamic time warping averaging of time series allows faster and more accurate classification

Petitjean, F., Forestier, G., Webb, G. I., Nicholson, A. E., Chen, Y. & Keogh, E., 2014, Proceedings,14th IEEE International Conference on Data Mining (ICDM 2014). Kumar, R., Toivonen, H., Pei, J., Huang, J. Z. & Wu, X. (eds.). Los Alamitos CA USA: IEEE, Institute of Electrical and Electronics Engineers, p. 470 - 479 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

108 Citations (Scopus)

Highly scalable attribute selection for averaged one-dependence estimators

Chen, S., Martinez, A. & Webb, G. I. B., 2014, Advances in Knowledge Discovery and Data Mining: 18th Pacific-Asia Conference, Proceedings (PAKDD 2014), Part II. Tseng, V. S., Ho, T. B., Zhou, Z-H., Chen, A. L. P. & Kao, H-Y. (eds.). Cham Switzerland: Springer, p. 86 - 97 12 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

5 Citations (Scopus)

Naive-Bayes inspired effective pre-conditioner for speeding-up logistic regression

Zaidi, N. A., Carman, M. J., Cerquides, J. & Webb, G. I. B., 2014, Proceedings, 14th IEEE International Conference on Data Mining (ICDM 2014). Kumar, R., Toivonen, H., Pei, J., Huang, J. Z. & Wu, X. (eds.). Los Alamitos CA USA: IEEE Computer Society, p. 1097 - 1102 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

9 Citations (Scopus)
2013

Fast and effective single pass Bayesian learning

Zaidi, N. A. & Webb, G. I., 2013, Advances in Knowledge Discovery and Data Mining: 17th Pacific-Asia Conference, Proceedings (PAKDD 2013), Part I. Pei, J., Tseng, V. S., Cao, L., Motoda, H. & Xu, G. (eds.). Berlin Germany: Springer-Verlag London Ltd., p. 149 - 160 12 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

9 Citations (Scopus)

Panel: A data scientist's guide to making money from start-Ups

Provost, F. & Webb, G. I., 11 Aug 2013, KDD 2013 - 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Parekh, R., He, J., Inderjit, D. S., Bradley, P., Koren, Y., Ghani, R., Senator, T. E., Grossman, R. L. & Uthurusamy, R. (eds.). Association for Computing Machinery (ACM), 1 p. 2494523. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. Part F128815).

Research output: Chapter in Book/Report/Conference proceedingConference PaperOtherpeer-review

Scaling log-linear analysis to high-dimensional data

Petitjean, F., Webb, G. I. & Nicholson, A. E., 2013, Proceedings, IEEE 13th International Conference on Data Mining. Xiong, H., Karypis, G., Thuraisingham, B., Cook, D. & Wu, X. (eds.). Los Alamitos CA USA: IEEE, Institute of Electrical and Electronics Engineers, p. 597 - 606 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

10 Citations (Scopus)
2012

Discovering associations in high-dimensional data

Webb, G. I., 1 Jan 2012, Database Technologies 2012 - Proceedings of the 23rd Australasian Database Conference, ADC 2012. Zhang, R. & Zhang, Y. (eds.). Australian Computer Society Inc, p. 7-8 2 p. (Conferences in Research and Practice in Information Technology Series; vol. 124).

Research output: Chapter in Book/Report/Conference proceedingConference PaperOtherpeer-review

Techniques for efficient learning without search

Salem, H., Suraweera, P., Webb, G. I. & Boughton, J. R., 2012, Advances in Knowledge Discovery and Data Mining: 16th Pacific-Asia Conference, Proceedings, Part I. Tan, P-N., Chawla, S., Ho, C. K. & Bailey, J. (eds.). Berlin Germany: Springer-Verlag London Ltd., p. 50 - 61 12 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

1 Citation (Scopus)
2009

A comparative study of bandwidth choice in kernel density estimation for Naive Bayesian classification

Liu, B., Yang, Y., Webb, G. & Boughton, J. R., 2009, Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining (PAKDD 2009). Theeramunkong, T., Kijsirikul, B., Cercone, N. & Ho, T-B. (eds.). Berlin Germany: Springer-Verlag London Ltd., Vol. 5476. p. 302 - 313 12 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

17 Citations (Scopus)

FaSS: Ensembles for stable learners

Ting, K. M., Wells, J. R., Tan, S. C., Teng, S. W. & Webb, G., 2009, Proceedings of the 8th International Workshop on Multipul Classifier Systems (MCS 2009). Benediktsson, J. A., Kittler, J. & Roli, F. (eds.). Berlin Germany: Springer-Verlag London Ltd., p. 364 - 374 11 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

1 Citation (Scopus)
2007

Finding the real patterns

Webb, G., 2007, Lecture Notes in Computer Science. Zhou, Z-H., Li, H. & Yang, Q. (eds.). Berlin Germany: Springer-Verlag London Ltd., Vol. 4426. p. 6 - 6 1 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Finding the right family: Parent and child selection for averaged one-dependence estimators

Zheng, F. & Webb, G., 2007, Proceedings of the 18th European Conference on Machine Learning (ECML 2007). Kok, J. N., Koronacki, J., Lopez de Mantaras, R., Matwin, S., Mladenic, D. & Skowron, A. (eds.). Berlin Germany: Springer-Verlag London Ltd., Vol. 4701. p. 490 - 501 12 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

9 Citations (Scopus)
2006

Discovering significant rules

Webb, G., 2006, Proceedings of the twelfth ACM SIGKDD international conference on knowledge discovery and data mining (KDD 2006). Ungar, L., Craven, M., Gunopulos, D. & Eliassi-Rad, T. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 434 - 443 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

63 Citations (Scopus)

Efficient lazy elimination for averaged one-dependence estimators

Zheng, F. & Webb, G. I., 2006, Proceedings of the 23rd International Conference on Machine Learning. Cohen, W. W. & Moore, A. (eds.). http://shop.omnipress.com/index.asp?PageAction=VIEWPROD&ProdID=33: Omnipress, p. 1113 - 1120 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

26 Citations (Scopus)

Incremental discretization for Naive-Bayes classifier

Lu, J., Yang, Y. & Webb, G. I., 2006, Proceedings of the Second International Conference on Advanced Data Mining and Applications (ADMA 2006). Li, X., Zaiane, O. R. & Li, Z. (eds.). Germany: Springer-Verlag London Ltd., Vol. 4093. p. 223 - 238 16 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

19 Citations (Scopus)

To select or to weigh: a comparative study of model selection and model weighing for SPODE ensembles

Yang, Y., Webb, G., Cerquides, J., Korb, K. B., Boughton, J. R. & Ting, K. M., 2006, Proceedings of the 17th European Conference on Machine Learning (ECML 2006). Furnkranz, J., Scheffer, T. & Spiliopoulou, M. (eds.). Germany: Springer-Verlag London Ltd., Vol. 4212. p. 533 - 544 12 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

7 Citations (Scopus)
2005

A comparative study of Semi-naive Bayes methods in classification learning

Zheng, F. & Webb, G., 2005, Proceedings of the 4th Australasian Data Mining Conference. Simoff, S. J., Williams, G. J., Galloway, J. & Kolyshkina, I. (eds.). Sydney NSW Australia: University of Technology Sydney, p. 141 - 156 16 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

62 Citations (Scopus)

Discarding insignificant rules during impact rule discovery in large, dense databases

Huang, S. & Webb, G., 2005, Proceedings of Fifth SIAM International Conference on Data Mining. Kargupta, H., Srivastava, J., Kamath, C. & Goodman, A. (eds.). Philadelphia USA: Society for Industrial and Applied Mathematics, p. 541 - 545 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

6 Citations (Scopus)

Ensemble selection for SuperParent-One-Dependence estimators

Yang, Y., Korb, K. B., Ting, K. M. & Webb, G., 2005, Proceedings of the 18th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence (AI 2005). Zhang, S. & Jarvis, R. (eds.). Berlin Germany: Springer-Verlag London Ltd., Vol. 3809. p. 102 - 112 11 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

25 Citations (Scopus)

K-optimal pattern discovery: An efficient and effective approach to exploratory data mining

Webb, G. I., 1 Dec 2005, AI 2005: Advances in Artificial Intelligence - 18th Australian Joint Conference on Artificial Intelligence, Proceedings. p. 1-2 2 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3809 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference PaperOtherpeer-review

Pruning derivative partial rules during impact rule discovery

Huang, S. & Webb, G., 2005, Proceedings of the 9th Pacific-Asia Conference in Advances in Knowledge Discovery and Data Mining (PAKDD 2005). Ho, T. B., Cheung, D. & Liu, H. (eds.). Berlin Germany: Springer-Verlag London Ltd., Vol. 3518. p. 71 - 80 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

5 Citations (Scopus)
2004

Alternative strategies for decision list construction

Newlands, D. A. & Webb, G. I., 2004, Proceedings of the Fourth International Conference on Data Mining Including Building Applications for CRM & Competitive Intelligence. Ebecken, N. F. F., Brebbia, C. A. & Zanasi, A. (eds.). Southampton UK: WIT Press, p. 265 - 273 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

2 Citations (Scopus)

Convex hulls as an hypothesis language bias

Newlands, D. A. & Webb, G. I., 2004, Proceedings of the Fourth International Conference on Data Mining Including Building Applications for CRM & Competitive Intelligence. Ebecken, N. F. F., Brebbia, C. A. & Zanasi, A. (eds.). Southampton UK: WIT Press, p. 285 - 294 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Efficiently identifying exploratory rules' significance

Huang, S. & Webb, G., 2004, Proceedings of the 3rd Australasian Data Mining Conference. Simoff, S. J. & Williams, G. J. (eds.). Broadway NSW Australia: University of Technology Sydney, p. 169 - 182 14 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Mining negative rules using GRD

Thiruvady, D. R. & Webb, G., 2004, Proceedings of the 8th Pacific-Asia Conference in Advances in Knowledge Discovery and Data Mining (PAKDD 2004). Dai, H., Srikant, R. & Zhang, C. (eds.). Berlin Germany: Springer-Verlag London Ltd., Vol. 3056. p. 161 - 165 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

20 Citations (Scopus)

Selective augmented Bayesian network classifiers based on rough set theory

Wang, Z., Webb, G. & Zheng, F., 2004, Proceedings of the 8th Pacific-Asia Conference in Advances in Knowledge Discovery and Data Mining (PAKDD 2004). Dai, H., Srikant, R. & Zhang, C. (eds.). Berlin Germany: Springer-Verlag London Ltd., Vol. 3056. p. 319 - 328 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

5 Citations (Scopus)
2003

A case study in feature invention for breast cancer diagnosis using X-ray scatter images

Butler, S. M., Webb, G. I. & Lewis, R. A., 2003, Proceedings of the 16th Australian Conference on AI: Advances in Artificial Intelligence (AI 2003. Gedeon, T. D. & Fung, L. C. C. (eds.). NY USA: Springer-Verlag London Ltd., Vol. 2903. p. 677 - 685 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

10 Citations (Scopus)

Adjusting dependence relations for semi-lazy TAN classifiers

Wang, Z., Webb, G. I. & Zheng, F., 2003, Proceedings of the 16th Australian Conference on AI: Advances in Artificial Intelligence (AI 2003. Gedeon, T. D. & Fung, L. C. C. (eds.). NY USA: Springer-Verlag London Ltd., Vol. 2903. p. 453 - 465 13 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

6 Citations (Scopus)

A new restricted Bayesian network classifier

Shi, H., Wang, Z., Webb, G. I. & Huang, H., 2003, Proceedings of the 7th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining (PAKDD 2003). Whang, K-Y., Jeon, J., Shim, K. & Srivastava, J. (eds.). Berlin Germany: Springer-Verlag London Ltd., Vol. 2637. p. 265 - 270 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

3 Citations (Scopus)

On detecting differences between groups

Webb, G. I., Butler, S. & Newlands, D., 2003, Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Domingos, P., Faloutsos, C., Senator, T., Kargupta, H. & Getoor, L. (eds.). New York USA: Association for Computing Machinery (ACM), p. 256 - 265 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

75 Citations (Scopus)

On why discretization works for Naive-Bayes classifiers

Yang, Y. & Webb, G. I., 2003, Proceedings of the 16th Australian Conference on AI: Advances in Artificial Intelligence (AI 2003. Gedeon, T. D. & Fung, L. C. C. (eds.). NY USA: Springer-Verlag London Ltd., Vol. 2903. p. 440 - 452 13 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

42 Citations (Scopus)

Preliminary investigations into statistically valid exploratory rule discovery

Webb, G. I., 2003, Proceedings of the 2nd Australasian Data Mining Workshop. Simoff, S. J., Williams, G. J. & Hegland, M. (eds.). Sydney NSW Australia: University of Technology, p. 1 - 9 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review