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Research Output for Kai Ming Ting

Note: The 2012, 2013, 2014 publications have not been audited.

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Publications

2003 External

Beliakov, Gleb, Ting, Kai Ming*, Murshed, Manzur*, Rubinov, Alex* and Bertoli, Marcello* (2003) Efficient serial and parallel implementations of the cutting angle method, in Di Pillo, Gianni and Murli, Almerico (eds), High performance algorithms and software for nonlinear optimization, pp. 57-74, Kluwer Academic Publishers, United States [B1]
DRO entry for this publication

2001 External

Beliakov, Gleb, Ting, K.* and Murshed, M.* (2001) Efficient serial and parallel implementations of the cutting angle global optimisation technique, in Li, D. and Cai, X. Q. (eds), ICOTA 2001 : Proceedings of the 5th International Conference on Optimization: Techniques and Applications, pp. 80-87, The Conference, Hong Kong [E1]
DRO entry for this publication

2000 School of Information Technology

Ting, K., Zheng, Z. and Webb, G. (2000) Learning lazy rules to improve the performance of classifiers, in Max Bramer, Ann Macintosh and Frans Coenen (eds), Proceedings of ES99: The 19th SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence, pp. 122-131, Springer-Verlag, London [E1]
no DRO entry yet for this publication

Wan, C.*, Wang, L. and Ting, K. (2000) Introducing cost-sensitive neural networks, in C.W Chan and K.L (eds), 2nd International Conference on Information, Communications and Signal Processing, pp. 1-4, IEEE, Singapore [E2]
no DRO entry yet for this publication

1999 School of Information Technology

Ting, K. and Witten, I.* (1999) Issues in Stacked Generalization, Journal of Artifical Intelligence Research, vol. 0, no. 0, pp. 271-289, AI Access Foundation and Morgan Kaufmann, Marina Delrey, CA [C1]
ERA journal ID: 17973 – Scopus EID: Not tagged
no DRO entry yet for this publication

Ting, K., Low, B.* and Witten, I.* (1999) Learning from batched data: model combination versus data combination, Knowledge and Information Systems, vol. 0, no. 0, pp. 83-106, Springer, London [C1]
ERA journal ID: 18060 – Scopus EID: Not tagged
no DRO entry yet for this publication

Ting, K. and Zheng, Z. (1999) Improving the performance of boosting for naive Bayesian classification, in N. Zhong & L. Zhou (eds), 3rd Pacific Asia Conference on knowledge discovery and data mining, pp. 296-305, Springer-Verlag, Berlin [E1]
no DRO entry yet for this publication

Zheng, Z.*, Webb, G. and Ting, K. (1999) Lazy Bayesian Rules: A lazy semi-naive Bayesian learning technique competitive to boosting decision trees, in Ivan Bratko and Saso Dzeroski (eds), Machine learning, proceedings of the 16th international conference, pp. 493-502, Morgan Kaufmann, California [E1]
no DRO entry yet for this publication

Frayman, Y., Ting, K. and Wang, L.* (1999) A fuzzy neural network for data mining: dealing with the problem of small disjuncts, International Joint Conference on Neural Networks, IEEE [E2]
no DRO entry yet for this publication

Wan, C.*, Wang, L.* and Ting, K. (1999) Introducing cost-sensitive neural networks, International Conference on Information, Communicatons and Signal Processing [E2]
no DRO entry yet for this publication

1998 School of Information Technology

Ting, K. and Zheng, Z. (1998) Boosting Cost-Sensitive Trees, First International Conference on Discovery Science, pp. 244-255, Springer-Verlag, "Berlin, Germany" [E1]
no DRO entry yet for this publication

Ting, K. (1998) Inducing Cost-Sensitive Trees via Instance Weighting, Second European Symposium on Principles of Data Mining and Knowledge Discovery, pp. 139-147, Springer-Verlag, "Berlin, Germany" [E1]
no DRO entry yet for this publication

Zheng, Z., Webb, G. and Ting, K. (1998) Integrating Boosting and Stochastic Attribute Selection Committees for Further Improving the Performance of Decision Tree Learning, 10th International Conference on Tools With Artificial Intelligence TAI '98, pp. 216-223, IEEE Computer Society, "Los Alamitos, USA" [E1]
no DRO entry yet for this publication

1998 External

Ting, K.* and Zheng, Z. (1998) Boosting Trees for Cost-Sensitive Classifications, 10th European Conference on Machine Learning, pp. 190-195, Springer-Verlag, Berlin [E1]
no DRO entry yet for this publication

Grants and Consultancies

No grants and/or consultancies found or audited – the 2014 HERDC financial return has not been completed or loaded as yet.

Higher Degree by Research Completions supervised by Kai Ming Ting

2000

Yakov Frayman
Doctor of Philosophy, Thesis entitled: Fuzzy Neural Networks for Control of Dynamic Systems.
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Legend:
* Not a member of Deakin University at time of output.

DRO to publications collection last synchronised: Thursday 23rd October 2014 10:04pm

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23rd July 2011