Open Mobile Miner: A Toolkit for Building Situation-Aware Data Mining Applications

Journal of Organizational Computing and Electronic Commerce

Volumn 23, Issue 3, 2013, Pages 224-248

  Haghighi, Pari Delir ^a   Krishnaswamy, Shonali ^a   Zaslavsky, Arkady ^b   Gaber, Mohamed Medhat ^c   Sinha, Abhijat ^a   Gillick, Brett ^a  

^a MONASH UNIVERSITY   (Australia)

^b CSIRO   (Australia)

^c UNIVERSITY OF PORTSMOUTH   (United Kingdom)

Author keywords

adaptation model; context awareness; data stream mining; e commerce applications; mobile computing; ubiquitous computing

Indexed keywords

EID: 84880645305     PISSN: 10919392     EISSN: None     Source Type: Journal    
DOI: 10.1080/10919392.2013.807713     Document Type: Article

References (29)

1. Bose, I. and Chen, X. 2009. Hybrid models using unsupervised clustering for prediction of customer churn. Journal of Organizational Computing and Electronic Commerce, 19 (2): 133 - 151.
2. Brezmes, T., Gorricho, J. and Cotrina, J. 2009. Activity recognition from accelerometer data on a mobile phone. Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living, Lecture Notes in Computer Science, 5518: 796 - 799.
3. Delir Haghighi, P., Krishnaswamy, S., Zaslavsky, A. and Gaber, M. M. 2008. " Reasoning about context in uncertain pervasive computing environments ". In EuroCSS 2008 112 - 125. Zurich, Switzerland
4. Delir Haghighi, P., Zaslavsky, A., Krishnaswamy, S., Gaber, M. M. and Loke, S. 2009. Context-aware adaptive data stream mining. Journal of Intelligent Data Analysis, 13 (3): 423 - 434.
5. Delir Haghighi, P., Gaber, M. M., Krishnaswamy, S. and Zaslavsky, A. 2010. " Situation-aware adaptive processing (SAAP) of data streams ". In Pervasive Computing: Innovations in Intelligent Multimedia and Applications, edited by, Edited by: Hassanien, A. 313 - 338. London: Springer, London.
6. Gaber, M. M. 2009. " Data stream mining asing granularity-based approach ". In Foundations of Computational Intelligence Vol, Edited by: Abraham, A., Hassanien, A. and Snase, V. Vol. 6, edited by, 47 - 66. Berlin/Heidelberg: Springer-Verlag. ""
7. Gaber, M. M., Krishnaswamy, S., Gillick, B., Nicoloudis, N., Liono, J., AlTaiar, H. and Zaslavsky, A. 2010. Adaptive clutter-aware visualization for mobile data stream mining. The 22nd IEEE International Conference on Tools with Artificial Intelligence (ICTAI'10), 2: 304 - 311.
8. Gaber, M. M., Krishnaswamy, S. and Zaslavsky, A. 2004. " Ubiquitous data stream mining ". In Proceedings of Current Research and Future Directions Workshop held in conjunction with 8th Pacific-Asia Conference on Knowledge Discovery and Data Mining
9. Gaber, M. M., Krishnaswamy, S. and Zaslavsky, A. 2005. " On-board mining of data streams in sensor networks ". In Advanced Methods of Knowledge Discovery from Complex Data, edited by, Edited by: Badhyopadhyay, S., Maulik, U., Holder, L. and Cook, D. Springer Verlag.
10. Gaber, M. M. and Yu, P. S. 2006. A holistic approach for resource-aware adaptive data stream mining. Journal of New Generation Computing, 25 (1): 95 - 115.
11. Gentry, J. A., Shaw, M. J., Tessmer, A. C. and Whitford, D. T. 2002. Using inductive learning to predict bankruptcy. Journal of Organizational Computing and Electronic Commerce, 12 (1): 39 - 57.
12. Gillick, B., Krishnaswamy, S., Gaber, M. M. and Zaslavsky, A. 2006. Visualisation of fuzzy classification of data elements in ubiquitous data stream mining. Proceedings of the 3rd International Workshop on Ubiquitous Computing, ICEIS Press,: 29 - 38.
13. Gillick, B., AlTaiar, H., Liono, J., Krishnaswamy, S., Nicoloudis, N., Gaber, M. M., Sinha, A. and Zaslavsky, A. 2010. " Clutter-adaptive visualisation for mobile data mining ". In Demo and Short Paper in the 10th IEEE Intel Conf on Data Mining (ICDM2010) Sydney, Australia
14. Hannay, P. and Baatard, G. 2011. " GeoIntelligence: Data mining locational social media content for profiling and information gathering ". In Proceedings of The 2nd International Cyber Resilience Conference 29 - 37. Perth, Western Australia
15. Kargupta, H., Park, B., Pittie, S., Liu, L., Kushraj, D. and Sarkar, K. 2002. MobiMine: Monitoring the stock market from a PDA. ACM SIGKDD Explorations, 3 (2): 37 - 46.
16. Kargupta, H., Gilligan, M., Puttagunta, V., Sarkar, K., Klein, M., Lenzi, N. and Johnson, D. 2010. MineFleet: The vehicle data stream mining system for ubiquitous environments. Ubiquitous Knowledge Discovery, Lecture Notes in Computer Science 6202/2010: 235-254.,
17. Krishnaswamy, S., M. M. Gaber, M. Harbach, C. Hugues, A. Sinha, B. Gillick, P. Delir Haghighi, and A. Zaslavsky. 2009. "Open mobile miner: A toolkit for mobile data stream mining." Demo and short paper, the 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2009, Paris. Retrieved from (accessed July 5, 2012) http://eprints.port.ac.uk/4140/1/D02-kdd09demo.pdf
18. Leijdekkers, P. and Gay, V. 2012. " User adoption of mobile apps for chronic disease management: A case study based on myFitnessCompanion® ". In Impact Analysis of Solutions for Chronic Disease Prevention and Management, Lecture Notes in Computer Science 7251:42-49
19. Lin, J., Keogh, E., Lonardi, S. and Chiu, B. 2003. " A symbolic representation of time series, with implications for streaming algorithms ". In The 8th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery 2 - 11. San Diego, California
20. Padovitz, A., Loke, S. and Zaslavsky, A. 2004. " Towards a theory of context spaces ". In Proceedings of the 2nd IEEE Conference on Pervasive Computing and Communication Workshops 38 - 42.
21. Perich, F., Joshi, A., Finin, T. and Yesha, Y. 2004. On data management in pervasive computing environments. IEEE Transactions on Knowledge and Data Engineering Archive, 16 (5): 621 - 634.
22. Phung, N. D., Gaber, M. M. and Roehm, U. 2007. Resource-aware online data mining in wireless sensor networks. IEEE Symposium on Computational Intelligence and Data Mining,: 139 - 146.
23. Raghunathan, V., Schurgers, C., Park, S. and Srivastava, M.B. 2002. Energy-aware wireless microsensor networks". IEEE Signal Processing Magazine,: 40 - 50. "
24. Rodriguez, J., Goni, A. and Illarramendi, A. 2005. Real-time classification of ECGs on a PDA. IEEE Transactions on Information Technology in Biomedicine, 9 (1): 23 - 34. ""
25. Shah, R., Krishnaswamy, S. and Gaber, M. M. 2005. " Resource-aware very fast K-means for ubiquitous data stream mining ". In Proceeding of 2nd International Workshop on KD in Data Streams ""ECML/PKDD
26. Stahl, F., Gaber, M. M., Aldridge, P., May, D., Liu, H., Bramer, M. and Yu, P. S. 2012. Homogeneous and heterogeneous distributed classification for pocket data mining. Transactions on Large-Scale Data- and Knowledge-Centered Systems, 5 (7100) ""Lecture Notes in Computer Science
27. Talia, D. and Trunfio, P. 2010. " Mobile data mining on small devices through Web services ". In Mobile Intelligence, edited by, Edited by: Yang, L. T., Waluyo, A. B., Ma, J. and Tan, L. Hoboken, NJ: John Wiley & Sons.
28. Witten, I. H. and Frank, E. 2005. Data Mining: Practical Machine Learning Tools and Techniques, 2nd, Boston: Morgan Kaufman.
29. Zimmermann, H. 1996. Fuzzy Set Theory-And Its Applications, Norwell, MA: Kluwer Academic Publishers.