Publications
Monographs (Authored Books)
1. Gaber M. M., Krishnaswamy S., Zaslavsky A., Mining Medical Streaming Data on Handheld and Wearable Computers, a book to appear, Pan Stanford Publishing, 2010. (under preparation)
2. Gaber M. M., Krishnaswamy S., Zaslavsky A., Mobile Data Stream Mining: Strategies, Techniques and Applications, a book to appear, Springer Verlag, 2009. (under preparation)
Edited Books
3. Gaber M. M. (Ed), Scientific Data Mining and Knowledge Discovery: Principles and Foundations, a book to be published by Springer Verlag, 2009.
4. Ganguly A., Gama J., Omitaomu O., Gaber M. M., Vatsavai R. R. (Eds), Knowledge Discovery from Sensor Data, a book published by CRC Press, ISBN 1420082329, 9781420082326, 2008.
5. Gama J., and Gaber M. M. (Eds), Learning from Data Streams: Processing Techniques in Sensor Networks, a book published by Springer Verlag, ISBN 3540736786, 9783540736783, 2007.
Edited Proceedings
6. Vatsavai R., Omitaomu O., Gama J., Chawla N, Gaber M. M., Ganguly A. (Eds), Knowledge Discovery from Sensor Data, Lecture Notes in Computer Sceince (LNCS), 2009 (to appear).
7. Vatsavai R., Omitaomu O., Gama J., Chawla N, Gaber M. M., Ganguly A. (Eds), Proceedings of Second International Workshop on Knowledge Discovery from Sensor Data (Sensor-KDD '08), held in conjunction with KDD 2008.
8. Gama J., Gaber M. M., and Aguilar-Ruiz (Eds), Proceedings of International Workshop on Knowledge Discovery from Ubiquitous Data Streams, held in conjunction with ECML/PKDD 2007.
9. Ganguly A., Gama J., Omitaomu O., Gaber M. M., Vatsavai R. R. (Eds), Proceedings of First International Workshop on Knowledge Discovery from Sensor Data (Sensor-KDD '07), held in conjunction with KDD 2007.
Theses
10. Gaber M. M., Adaptive Mining of Data Streams in Resource Constrained Environments, PhD in Computing (Artificial Intelligence) Thesis, Monash University, VIC, Australia, 2006
11. Gaber M. M., A Framework for a Scalable Distributed Data Mining Model, MSc. in Computer Science Thesis, University of Louisville, KY, USA, 2002
Book Chapters
12. Gaber M. M., Data Stream Mining Using Granularity-based Approach, a book chapter in Data Mining: Theoretical Foundations and Applications, Abraham A., Hassanien A., Carvalho A., and Snase V. (Eds), Springer Verlag, 2009.
13. Gaber M. M., Krishnaswamy S., Zaslavsky A., Data Stream Mining, an invited chapter in the second edition of the Data Mining and Knowledge Discovery Handbook, Springer Verlag, 2009 (to appear).
14. Gaber M. M., Introduction, a book chapter in: Scientific Data Mining and Knowledge Discovery: Principles and Foundations, Ed (Gaber M. M.), Springer Verlag, 2009 (to appear).
15. Haghighi P. D., Gaber M. M., Krishnaswamy S., Zaslavsky A., Situation-Aware Adaptive Processing of Data Streams in Pervasive Computing Environments, accepted as a book chapter in the forthcoming book: Pervasive Computing: Innovations in Intelligent Multimedia and Applications, (Eds) Hassanien A., Abawajy J., Abraham A., Hagras H., Springer Verlag, 2008 (to appear).
16. Gama J., and Gaber M. M., Introduction, a book chapter in: Learning from Data Streams: Processing Techniques in Sensor Networks (Eds., Gama J., Gaber M. M.), pp. 1-5, Springer Verlag, ISBN 3540736786, 9783540736783, 2007.
17. Gaber M. M., Data Stream Processing in Sensor Networks, a book chapter in Learning from Data Streams: Processing Techniques in Sensor Networks (Eds., Gama J., Gaber M. M.), pp. 41-48, Springer Verlag, ISBN 3540736786, 9783540736783, 2007.
18. Gaber, M, M., Zaslavsky, A., and Krishnaswamy, S., A Survey of Classification Methods in Data Streams, an invited chapter in the book Data Streams: Models and Algorithms, (Ed.) Charu Aggarwal, pp. 39-59, 978-0-387-28759-1 (Print) 978-0-387-47534-9 (Online), Springer Verlag, 2007.
19. Gaber, M, M., Krishnaswamy, S., and Zaslavsky, A., On-board Mining of Data Streams in Sensor Networks, a book chapter in Advanced Methods of Knowledge Discovery from Complex Data, (Eds.) Sanghamitra Badhyopadhyay, Ujjwal Maulik, Lawrence Holder and Diane Cook, pp. 307-335, Springer Verlag, 978-1-85233-989-0 (Print) 978-1-84628-284-3 (Online), 2005.
Journal Papers
20. Steller L., Krishnaswamy S., Gaber M. M., Enabling Scalable Semantic Reasoning for Mobile Services, accepted for publication in International Journal on Semantic Web and Information Systems (IJSWIS), Special Issue on Scalability and Performance on Semantic Web Systems, Christophides V., Decker S., Helfin J. (Eds), IGI Global, 2009.
21. Haghighi P. D., Gaber M. M., Krishnaswamy S., Zaslavsky A., Loke S. W., Context-Aware Adaptive Data Stream Mining, accepted for publication in Intelligent Data Analysis - Special Issue on Knowledge Discovery from Data Streams, 2009.
22. Vatsavai R., Omitaomu O., Gama J., Chawla N, Gaber M. M., Ganguly A., Knowledge Discovery from Sensor Data (SensorKDD), ACM SIGKDD Explorations, Volume 10, Issue 2, pp. 68-73, December 2008
23. Horovitz, O., Krishnaswamy, S., and Gaber, M, M., A Fuzzy Approach for Interpretation of Ubiquitous Data Stream Clustering and Its Application in Road Safety, Intelligent Data Analysis, Special Issue on Knowledge Discovery from Data Streams João Gama and Jesus Aguilar-Ruiz (Eds.), Vol. 25, No. 1, pp 89-108, 2007, 1088-467X (Print) 1571-4128 (Online), IOS Press.
24. Gaber M. M., and Yu P. S., A Holistic Approach for Resource-aware Adaptive Data Stream Mining, Journal of New Generation Computing, ISSN 0288-3635 (Print) 1882-7055 (Online), Volume 25, Number 1, November, 2006, pp. 95-115, Ohmsha, Ltd., and Springer Verlag.
25. Gaber M. M., and Yu P. S., Detection and Classification of Changes in Evolving Data Streams, International Journal of Information Technology & Decision Making, Vol. 5, No. 4, pp. 659-670, World Scientific Publishing Company, 2006.
26. Gaber, M, M., Krishnaswamy, S., and Zaslavsky, A., Resource-Aware Mining of Data Streams, Journal of Universal Computer Science, Vol. 11, No. 8 (2005), pp. 1440-1453, ISSN 0948-695x, Special Issue on Knowledge Discovery in Data Streams, Jesus S. Aguilar-Ruiz and Joao Gama (Eds.), Verlag der Technischen Universität Graz, Know-Center Graz, Austria, August 2005.
27. Gaber, M, M., Zaslavsky, A., and Krishnaswamy, S., Mining Data Streams: A Review, ACM SIGMOD Record, Vol. 34, No. 1, pp. 18-26, June 2005, ISSN: 0163-5808.
28. Ariwa E., Gaber M. M., Dynamics of Distributed Data Mining in Deliverying Best Practices [Implications for Knowledge Management Systems and Facilities Management], The International Journal of Applied Management, Volume 5 Number 1, ISSN 1468 -5191, 2004
29. Ariwa E., Senousy M., and Gaber, M, M., Facilities Management and E-business Model Application for Distributed Data Mining using Mobile Agents, The International Journal of Applied Marketing, Volume 2 Number 1, Sheffield Hallam University Press, 2003, ISSN 1472-8249 - 2003.
Conference Papers
30. Krishnaswamy S., Gaber M. M., Harbach M., Hugues C., Sinha A., Gillick B., Haghighi P. D., and Zaslavsky A., Open Mobile Miner: A Toolkit for Mobile Data Stream Mining, Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 2009, June 28 - 1 July, Paris, France. (Demo paper) (to appear).
31. Ammar Z. S., and Gaber M. M., DDG-Clustering: A Novel Technique for Highly Accurate Results, Proceedings of the IADIS European Conference on Data Mining (ECDM 2009), Algarve, Portugal, 18-20 June, 2009. (to appear).
32. Steller L., Krishnaswamy S., Gaber M. M., Cost Efficient Adaptive Reasoning Strategies for Pervasive Service Discovery, Proceedings of the ACM International Conference on Pervasive Services (ICPS 2009), Imperial College, London, UK, 13-17 July 2009, ACM Press. (to appear)
33. Haghighi P. D., Zaslavsky A., Krishnaswamy S., Gaber M. M., Mobile Data Mining for Intelligent Healthcare Support, Proceedings of the 42nd Hawaii International Conference on System Sciences (HICSS08), pp. 1-10, Hawaii, USA, January 5-8, 2009, IEEE 2009.
34. Gaber M. M., Foundations of Adaptive Data Stream Mining for Mobile and Embedded Applications, Proceedings of Cairo International Biomedical Engineering Conference (CIBEC 2008), pp. 1-6, Cairo, Egypt, 18-20 December 2008, IEEE 2008, ISBN: 978-1-4244-2694-2 (Invited Paper)
35. Yin J., and Gaber M. M., Clustering Distributed Time Series in Sensor Networks, Proceedings of the Eighth IEEE International Conference on Data Mining ICDM'08, 678-687, Pisa, Italy, December 15-19, 2008.
36. Haghighi P. D., Krishnaswamy S., Zaslavsky A., Gaber M. M., Reasoning About Context in Uncertain Pervasive Computing Environments, Daniel Roggen, Clemens Lombriser, Gerhard Tröster, Gerd Kortuem, Paul J. M. Havinga (Eds.): Smart Sensing and Context, Third European Conference, EuroSSC 2008, pp. 112-125, Zurich, Switzerland, October 29-31, 2008. Proceedings. Lecture Notes in Computer Science 5279 Springer 2008, ISBN 978-3-540-88792-8
37. Chong S. K., Gaber M. M., Krishnaswamy S., Loke S. W., A Rule Learning Approach to Energy Efficient Clustering in Wireless Sensor Networks, Proceedings of the Second International Conference on Sensor Technologies and Applications (SENSORCOMM 2008), pp. 329 – 334, Cap Esterel, France, 25-31 August 2008, IEEE 2008, ISBN: 978-0-7695-3330-8.
38. Chong S. K., Gaber M. M., Krishnaswamy S., Loke S. W., ARTS: Using Adaptive Rule Triggers on Sensors for Energy Conservation using Coarse-Granularity Data, Proceedings of the 2008 International Conference on Embedded Software and Systems, pp. 314-321, Chengdu, China, IEEE 2008.
39. Chong C. K., Krishnaswamy S., Loke S., and Gaber M. M., Using Association Rules for Energy Conservation in Wireless Sensor Networks, Roger L. Wainwright, Hisham Haddad (Eds.): Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), pp. 971-975, Fortaleza, Ceara, Brazil, March 16-20, 2008. ACM 2008, ISBN 978-1-59593-753-7
40. Röhm U., Gaber M. M., and Tse Q, Enabling Resource-Awareness for In-network Data Processing in Wireless Sensor Networks, Alan Fekete, Xuemin Lin (Eds.): Database Technologies 2008. Proceedings of the Nineteenth Australasian Database Conference, ADC 2008, pp. 95-102, January 22-25, 2008, Wollongang, NSW, Australia. CRPIT 75 Australian Computer Society 2008, ISBN 978-1-920682-56-9.
41. Scholz B., Gaber M. M., Dawborn T., Khoury R., Tse E., Efficient Time Triggered Query Processing in Wireless Sensor Networks, Yann-Hang Lee, Heung-Nam Kim, Jong Kim, Yongwan Park, Laurence Tianruo Yang, Sung Won Kim (Eds.): Embedded Software and Systems, Third International Conference, ICESS 2007, pp. 391-402, Daegu, Korea, May 14-16, 2007, Proceedings. Lecture Notes in Computer Science 4523 Springer 2007, ISBN 978-3-540-72684-5
42. Phung N. D., Gaber M. M., and Röhm U, Resource-aware Online Data Mining in Wireless Sensor Networks, Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2007, pp. 139-146, part of the IEEE Symposium Series on Computational Intelligence 2007, Honolulu, Hawaii, USA, 1-5 April 2007. IEEE 2007, ISBN: 1-4244-0705-2.
43. Gaber M. M., and Yu P. S., A Framework for Resource-aware Knowledge Discovery in Data Streams: A Holistic Approach with Its Application to Clustering, Hisham Haddad (Ed.): Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), pp. 649-656, Dijon, France, April 23-27, 2006. ACM 2006, ISBN 1-59593-108-2
44. Horovitz O., Gaber M. M., and Krishnaswamy S., Making Sense of Ubiquitous Data Streams: A Fuzzy Logic Approach, Rajiv Khosla, Robert J. Howlett, Lakhmi C. Jain (Eds.): Knowledge-Based Intelligent Information and Engineering Systems, 9th International Conference, KES 2005, pp. 922-928, Melbourne, Australia, September 14-16, 2005, Proceedings, Part II. Lecture Notes in Computer Science 3682 Springer 2005, ISBN 3-540-28895-3.
45. Agarwal I., Krishnaswamy S., and Gaber M. M., Resource-Aware Ubiquitous Data Stream Querying, Proceedings of the International Conference on Information and Automation, December 15-18, 2005, Colombo, Sri Lanka.
46. Page J., Padovitz A., and Gaber M. M., Mobility in Agents, a Stumbling or a Building Block?, Proceedings of Second International Conference on Intelligent Computing and Information Systems, Cairo, Egypt, 5-7 March 2005.
47. 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, Proceedings of Conference on Intelligent Vehicles and Road Infrastructure (IVRI’05), held at the University of Melbourne, 16-17 February 2005.
48. Gaber, M, M., Zaslavsky, A., and Krishnaswamy, S., Towards an Adaptive Approach for Mining Data Streams in Resource Constrained Environments, Yahiko Kambayashi, Mukesh K. Mohania, Wolfram Wöß (Eds.): Data Warehousing and Knowledge Discovery, 6th International Conference, DaWaK 2004, pp. 189-198, Zaragoza, Spain, September 1-3, 2004, Proceedings. Lecture Notes in Computer Science 3181 Springer 2004, ISBN 3-540-22937-X.
49. Gaber, M, M., Zaslavsky, A., and Krishnaswamy, S., A Cost-Efficient Model for Ubiquitous Data Stream Mining, Proceedings of the tenth International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2004), pp. 747-754, Perugia Italy, July 4-9.
50. Gaber, M, M., Krishnaswamy, S., and Zaslavsky, A., Adaptive Mining Techniques for Data Streams Using Algorithm Output Granularity, Simeon J. Simoff, Graham J. Williams and Markus Hegland (Eds.), Proceedings of the Second Australasian Data Mining Conference (AusDM 2003), pp. 199-216, Canberra, Australia, 8 December, 2003.
51. Ariwa E., Senousy M., and Gaber, M, M, Informatization and E-Business Model Application for Distributed Data Mining Using Mobile Agents, Proceedings of the IADIS International Conference WWW/Internet 2003, ICWI 2003, pp. 85-92, Algarve, Portugal, November 5-8, 2003, IADIS 2003, ISBN 972-98947-1-X
52. Ariwa E., and Gaber, M, M., Information Systems and Application of Distributed Data Mining to Facilities Management, Proceedings of the Second Annual Conference: Hawaii International Conference on Statistics and Related Fields, Honolulu, Hawaii, USA, June 5 - 8, 2003.
Workshop Papers
53. Chong S. K., Krishnaswamy S., Gaber M. M., and Loke S. W., Mining Rules from Sensor Data Streams for WSN Energy Conservation, Proceedings of the First International Workshop on Data Warehousing and Knowledge Discovery from Sensors and Streams, held in conjunction with 5th International Conference on Distributed Computing in Sensor Systems (DCOSS 2009). (to appear).
54. Haghighi P. D., Gillick B., Krishnaswamy S., Gaber M. M., Zaslavsky A., Mobile Visualization for Sensory Data Stream Mining, Proceedings of the Second International Workshop on Knowledge Discovery from Sensor Data, held in conjunction with the Fourteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 2008, ACM Press.
55. Karnstedt M., Franke C., Gaber M. M., A Model for Quality-Guaranteed Resource-Aware Stream Mining, Proceedings of the International Workshop on Knowledge Discovery from Ubiquitous Data Streams (IWKDUDS07), in conjunction with ECML and PKDD 2007, September 17, Warsaw, Poland, 2007
56. Haghighi P. D., Gaber M. M., Krishnaswamy S., Zaslavsky A, and Loke S. W., An Architecture for Context-Aware Adaptive Data Stream Mining, Proceedings of the International Workshop on Knowledge Discovery from Ubiquitous Data Streams (IWKDUDS07), in conjunction with ECML and PKDD 2007, September 17, Warsaw, Poland, 2007
57. Phung N. D., Gaber M. M., and Röhm U., Resource-aware Distributed Online Data Mining for Wireless Sensor Networks, Proceedings of the International Workshop on Knowledge Discovery from Ubiquitous Data Streams (IWKDUDS07), in conjunction with ECML and PKDD 2007, September 17, Warsaw, Poland, 2007
58. Röhm U, Scholz B., and Gaber M. M., Integration of Data Stream Clustering into a Query Processor for Wireless Sensor Networks, Christian Becker, Christian S. Jensen, Jianwen Su, Daniela Nicklas (Eds.): 8th International Conference on Mobile Data Management (MDM 2007), pp. 331-335, Workshop on Data Intensive Sensor Networks (DISN07), Mannheim, Germany, May 7-11, 2007. IEEE 2007, ISBN 1-4244-1240-4.
59. Gillick B., Gaber M. M., Krishnaswamy S., and Zaslavsky A., Visualization of Cluster Dynamics and Change Detection in Ubiquitous Data Stream Mining, Proceedings the third International Workshop on Knowledge Discovery in Data Streams June 29, 2006, Pittsburgh PA, USA.
60. Gaber M. M., Yu P.S., Classification of Changes in Evolving Data Streams using Online Clustering Result Deviation, Proceedings of third International Workshop on Knowledge Discovery in Data Streams June 29, 2006, Pittsburgh PA, USA.
61. Gillick B., Krishnaswamy S., Gaber M. M., and Zaslavsky A., Visualisation of Fuzzy Classification of Data Elements in Ubiquitous Data Stream Mining, Soraya Kouadri Mostéfaoui, Zakaria Maamar, George M. Giaglis (Eds.): Ubiquitous Computing, Proceedings of the 3rd International Workshop on Ubiquitous Computing, IWUC 2006, pp. 29-38, in conjunction with ICEIS 2006, Paphos, Cyprus, May 2006. INSTICC Press 2006, ISBN 978-972-8865-51-1.
62. 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, 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.
63. 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, 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.
64. Gaber, M, M., Zaslavsky, A., and Krishnaswamy, S., Resource-Aware Knowledge Discovery in Data Streams, Proceedings of the First International Workshop on Knowledge Discovery in Data Streams, 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.
65. Gaber, M, M., Krishnaswamy, S., and Zaslavsky, A., Ubiquitous Data Stream Mining, Proceedings of 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.
66. Gaber, M, M., Krishnaswamy, S., and Zaslavsky, A., A Wireless Data Stream Mining Model, Qusay H. Mahmoud, Hans Weghorn (Eds.): Wireless Information Systems, Proceedings of the 3rd International Workshop on Wireless Information Systems, WIS 2004, pp. 152-160, in conjunction with ICEIS 2004, Porto, Portugal, April 2004. INSTICC Press 2004, ISBN 972-8865-02-3.
67. Gaber, M. M., Krishnaswamy, S. and Zaslavsky, A. (2004). Cost-Efficient Mining Techniques for Data Streams, In Proc. Australasian Workshop on Data Mining and Web Intelligence (DMWI2004), pp. 109-114, Dunedin, New Zealand. CRPIT, 32. Purvis, M., Ed. ACS, ISBN 1-920682-14-7.