Gaber, M, M., Zaslavsky, A., and Krishnaswamy, S., A Survey of Classification Methods in Data Streams, Accepted as an invited chapter in the forthcoming book Data Streams: Models and Algorithms, (Eds.) Charu Aggarwal, Springer Verlag, 2007. (To appear)
Horovitz, O., Krishnaswamy, S., and Gaber, M, M., A Fuzzy Approach for Interpretation of Ubiquitous Data Stream Clustering and Its Application in Road Safety, Accepted for publication in Intelligent Data Analysis - Special Issue on Knowledge Discovery from Data Streams, 2006, IOS Press (To appear)
Gillick B., Krishnaswamy S., Gaber M. M., and Zaslavsky A., Visualisation of Fuzzy Classification of Data Elements in Ubiquitous Data Stream Mining, Accepted of publication in Proceedings of the Third International Workshop on Ubiquitous Computing, to be held in conjunction with the 8th International Conference on Enterprise Information Systems (ICEIS 2006), ICEIS Press. (To appear)
Gaber M. M., Yu P. S., A Framework for Resource-aware Knowledge Discovery in Data Streams: A Holistic Approach with Its Application to Clustering, Accepted for publication in the 21st ACM Symposium on Applied Computing (ACM SAC 2006) - Data Streams Track, 23 - 27 April 2006, Dijon, France, ACM Press. (To appear)
Agarwal I., Krishnaswamy S., and Gaber M. M., Resource-Aware Ubiquitous Data Stream Querying, Accepted for publication in the Proceedings of the International Conference on Information and Automation, December 15-18, 2005, Colombo, Sri Lanka. PDF
Horovitz O., Krishnaswamy S., and Gaber M. M., A Fuzzy Approach for Interpretation and Application of Ubiquitous Data Stream Clustering, Proceedings of Second International Workshop on Knowledge Discovery in Data Streams, to be held in conjunction with the 16th European Conference on Machine Learning (ECML 2005) and the 9th European Conference on the Principals and Practice of Knowledge Discovery in Databases (PKDD 2005), Porto, Portugal, October 3-7, 2005. PDF
Shah R., Krishnaswamy S., and Gaber M. M., Resource-Aware Very Fast K-Means for Ubiquitous Data Stream Mining, Proceedings of Second International Workshop on Knowledge Discovery in Data Streams, to be held in conjunction with the 16th European Conference on Machine Learning (ECML 2005) and the 9th European Conference on the Principals and Practice of Knowledge Discovery in Databases (PKDD 2005), Porto, Portugal, October 3-7, 2005. PDF
Gaber, M, M., Krishnaswamy, S., and Zaslavsky, A., Resource-Aware Mining of Data Streams, Journal of Universal Computer Science, Special Issue on Knowledge Discovery in Data Streams, edited by Jesus S. Aguilar-Ruiz and Joao Gama, August 2005.
Horovitz O., Gaber M. M., and Krishnaswamy S., Making Sense of Ubiquitous Data Streams - A Fuzzy Logic Approach, Accepted for publication in the proceedings of the 9th International Conference on Knowledge-based Intelligent Information & Engineering Systems 2005, Special Session on Knowledge Discovery in Data Streams, 14 - 16 September, 2005, Springer-Verlag.
Krishnaswamy S., Loke S. W., Rakotonirainy A., Horovitz O., and Gaber M. M., Towards Situation-awareness and Ubiquitous Data Mining for Road Safety: Rationale and Architecture for a Compelling Application, Accepted for publication in the proceedings of Conference on Intelligent Vehicles and Road Infrastructure to be held at The University of Melbourne, 16-17 February 2005. PDF
Gaber, M, M., Zaslavsky, A., and Krishnaswamy, S., (2005), Mining Data Streams: A Review, Accepted for publication in ACM SIGMOD Record, Vol. 34, No. 1, March 2005, ISSN: 0163-5808. PDF
Gaber, M, M., Krishnaswamy, S., and Zaslavsky, A., (2005), On-board Mining of Data Streams in Sensor Networks, Accepted as a chapter in the forthcoming book Advanced Methods of Knowledge Discovery from Complex Data, (Eds.) Sanghamitra Badhyopadhyay, Ujjwal Maulik, Lawrence Holder and Diane Cook, Springer Verlag.
Gaber, M, M., Zaslavsky, A., and Krishnaswamy, S., Resource-Aware Knowledge Discovery in Data Streams, Proceedings of First International Workshop on Knowledge Discovery in Data Streams, to be held in conjunction with the 15th European Conference on Machine Learning (ECML 2004) and the 8th European Conference on the Principals and Practice of Knowledge Discovery in Databases (PKDD 2004), Pisa, Italy, 20-24 September 2004. PDF
Gaber, M, M., Krishnaswamy, S., and Zaslavsky, A., Ubiquitous Data Stream Mining, Current Research and Future Directions Workshop Proceedings held in conjunction with The Eighth Pacific-Asia Conference on Knowledge Discovery and Data Mining, Sydney, Australia May 26 2004. PDF
Gaber, M, M., Zaslavsky, A., and Krishnaswamy, S., Towards an Adaptive Approach for Mining Data Streams in Resource Constrained Environments, Accepted for publication in the Proceedings of Sixth International Conference on Data Warehousing and Knowledge Discovery (DaWaK) - Industry Track, Zaragoza, Spain, 30 August - 3 September, Lecture Notes in Computer Science (LNCS), Springer Verlag.
Gaber, M, M., Zaslavsky, A., and Krishnaswamy, S., (2004), A Cost-Efficient Model for Ubiquitous Data Stream Mining, Accepted for publication in the Tenth International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2004), Perugia Italy, July 4-9.
Gaber, M, M., Krishnaswamy, S., and Zaslavsky, A., (2004), A Wireless Data Stream Mining Model, Accepted for publication in the Third International Workshop on Wireless Information Systems (WIS 2004), Held in conjunction with the Sixth International Conference on Enterprise Information Systems (ICEIS 2004), Porto, Portugal, April 13-14, ICEIS Press, ISBN. PDF
Gaber, M, M., Krishnaswamy, S., and Zaslavsky, A., (2004), Cost-Efficient Mining Techniques for Data Streams, First Australasian Workshop on Data Mining and Web Intelligence (DMWI 2004), Held in conjunction with the Australasian Computer Science Week (ACSW 2004), Dunedin, New Zealand. PDF
Gaber, M, M., Krishnaswamy, S., and Zaslavsky, A., (2003), Adaptive Mining Techniques for Data Streams Using Algorithm Output Granularity, Australasian Data Mining Workshop (AusDM 2003), Held in conjunction with the 2003 Congress on Evolutionary Computation (CEC 2003), December, Canberra, Australia, Springer Verlag, Lecture Notes in Computer Science (LNCS). PDF