Mahsa Salehi

Dr

Accepting PhD Students

20082021
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Research Output 2008 2018

2008

Distributed adaptive query optimization by query trading

Salehi, M. & Bagheri, A., 2008, MIPRO 2008 - 31st International Convention Proceedings: Computers in Technical Systems and Intelligent Systems. Vol. 3. p. 17-22 6 p.

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

Modeling dynamic software architecture with UML

Salehi, M. & Razzazi, M., 2008, MIPRO 2008 - 31st International Convention Proceedings: Computers in Education. Vol. 4. p. 135-138 4 p.

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

2009

A Sensor-based framework for detecting human gait cycles using acceleration signals

Salehi, M. & Razzazi, M., 2009, SoftCOM 2009 - 17th International Conference on Software, Telecommunications and Computer Networks. p. 328-332 5 p. 5306814

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

2014

A relevance weighted ensemble model for anomaly detection in switching data streams

Salehi, M., Leckie, C. A., Moshtaghi, M. & Vaithianathan, T., 2014, Advances in Knowledge Discovery and Data Mining: 18th Pacific-Asia Conference (Proceedings (PAKDD 2014): Tainan, Taiwan, May 13-16, 2014 Proceedings, Part II. Tseng, V. S., Ho, T. B., Zhou, Z-H., Chen, A. L. P. & Kao, H-Y. (eds.). Cham [Switzerland]: Springer, p. 461 - 473 13 p.

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

2015

Local outlier detection for data streams in sensor networks: revisiting the utility problem invited paper

Salehi, M., Leckie, C., Bezdek, J. C. & Vaithianathan, T., 2015, 2015 IEEE Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing [ISSNIP] : 7 -9 April 2015 Singapore. Tseng, Y-C., Wu, H. & Wong, L. W-C. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 6 p. 7106978

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

Profiling pedestrian distribution and anomaly detection in a dynamic environment

Doan, M. T., Rajasegarar, S., Salehi, M., Moshtaghi, M. & Leckie, C., 2015, CIKM'15 - Proceedings of the 24th ACM International Conference on Information and Knowledge Management: October 19-23, 2015 Melbourne, Australia. C. Aggarwal, C., de Rijke, M., Kumar, R., Murdock, V., Sellis, T. & Xu Yu, J. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 1827-1830 4 p.

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

2016

Data-driven prediction and visualisation of dynamic bushfire risks

Rusu, L., Vo, H. T., Wang, Z., Salehi, M. & Phan, A., 2016, Databases Theory and Applications: 27th Australasian Database Conference, ADC 2016, Sydney, NSW, September 28–29, 2016, Proceedings. Aamir Cheema, M., Zhang, W. & Chang, L. (eds.). Cham Switzerland : Springer, p. 457-461 5 p. (Lecture Notes in Computer Science ; vol. 9877 ).

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

Dynamic and robust wildfire risk prediction system: an unsupervised approach

Salehi, M., Rusu, L. I., Lynar, T. & Phan, A., 2016, 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. 245-254 10 p.

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

Fast memory efficient local outlier detection in data streams

Salehi, M., Leckie, C., Bezdek, J., Vaithianathan, T. & Zhang, X., 1 Dec 2016, In : IEEE Transactions on Knowledge and Data Engineering. 28, 12, p. 3246-3260 15 p., 7530918.

Research output: Contribution to journalArticleResearchpeer-review

Smart sampling: a novel unsupervised boosting approach for outlier detection

Salehi, M., Zhang, X., Bezdek, J. C. & Leckie, C., 2016, AI 2016: Advances in Artificial Intelligence: 29th Australasian Joint Conference, Hobart, TAS, Australia, December 5-8, 2016, Proceedings. Kang, B. H. & Bai, Q. (eds.). Cham Switzerland: Springer, p. 469-481 13 p. (Lecture Notes in Artificial Intelligence; vol. 9992).

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

2017

A large-scale spatio-temporal data analytics system for wildfire risk management

Wang, Z., Vo, H. T., Salehi, M., Rusu, L. I., Reeves, C. & Phan, A., 2017, GeoRich - Fourth International ACM Workshop on Managing and Mining Enriched Geo-Spatial Data: In Conjunction with SIGMOD 2017, May 14th 2017. Bouros, P. & Sarwat, M. (eds.). New York NY USA : Association for Computing Machinery (ACM), p. 19-24 6 p. 4

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

An efficient method for anomaly detection in non-stationary data streams

Chenaghlou, M., Moshtaghi, M., Leckie, C. & Salehi, M., 2017, 2017 IEEE Global Communications Conference (GLOBECOM) - Proceedings: Singapore, 4-8 December 2017. Liang, Y-C., Lim, T. J. & Xiao, C. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1-6 6 p.

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

Fast memory efficient local outlier detection in data streams

Salehi, M., Leckie, C., Bezdek, J. C., Vaithianathan, T. & Zhang, X., 16 May 2017, Proceedings of the 2017 IEEE 33rd International Conference on Data Engineering (ICDE 2017): San Diego, California, USA, 19-22 April 2017. Papakonstantinou, Y. & Diao, Y. (eds.). IEEE, Institute of Electrical and Electronics Engineers, p. 51-52 2 p. 7929928

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

2018

A survey on anomaly detection in evolving data [with application to forest fire risk prediction]

Salehi, M. & Rashidi, L., Jun 2018, In : SIGKDD Explorations. 20, 1, p. 13-23 11 p.

Research output: Contribution to journalArticleResearch

Open Access
File

Density biased sampling with locality sensitive hashing for outlier detection

Zhang, X., Salehi, M., Leckie, C., Luo, Y., He, Q., Zhou, R. & Kotagiri, R., 2018, Web Information Systems Engineering – WISE 2018 : 19th International Conference, Dubai, United Arab Emirates, November 12–15, 2018 Proceedings, Part II . Hacid, H., Cellary, W., Wang, H., Paik, H-Y. & Zhou, R. (eds.). Cham Switzerland: Springer, p. 269-284 16 p. (Lecture Notes in Computer Science ; vol. 11234 ).

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

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

Online clustering for evolving data streams with online anomaly detection

Chenaghlou, M., Moshtaghi, M., Leckie, C. & Salehi, M., 2018, Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018 - Proceedings, Part II. Phung, D., Webb, G. I., Ho, B., Ganji, M. & Rashidi, L. (eds.). Cham Switzerland: Springer, p. 508-521 14 p. (Lecture Notes in Artificial Intelligence; vol. 10938).

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