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Interactive self-adaptive clutter-aware visualisation for mobile data mining.

, , , , , , и . J. Comput. Syst. Sci., 79 (3): 369-382 (2013)

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Arkady Pikovsky

B Wiederanders

B Hause

B Klösgen

B Strauß

 

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Towards Anytime Anywhere Data Mining e-Services., , и . AusDM, стр. 47-56. University of Technology Sydney, Australia, (2002)Verification of uncertain context based on a theory of context spaces., , , и . Int. J. Pervasive Comput. Commun., 3 (1): 30-56 (2007)A hybrid model for improving response time in distributed data mining., , и . IEEE Trans. Syst. Man Cybern. Part B, 34 (6): 2466-2479 (2004)On-Line Location Prediction Exploiting Spatial and Velocity Context., , , и . Int. J. Wirel. Inf. Networks, 22 (1): 29-40 (2015)Mobile Computing: Overview and Current Status., и . Aust. Comput. J., 30 (2): 42-52 (1998)Efficient Object-Oriented Query Optimisation in Mobile Computing Environment., , , и . Aust. Comput. J., 30 (2): 65-76 (1998)Context-Aware QoE Modelling, Measurement, and Prediction in Mobile Computing Systems., , и . IEEE Trans. Mob. Comput., 14 (5): 920-936 (2015)Benchmarking IoT Context Management Platforms: High-level Queries Matter., , , , , и . GIoTS, стр. 1-6. IEEE, (2019)Development and evaluation of ontology for intelligent decision support in medical emergency management for mass gatherings., , , и . Decis. Support Syst., 54 (2): 1192-1204 (2013)Support for real-time decision making in mobile financial applications., , , и . Inf. Syst. E Bus. Manag., 6 (3): 257-278 (2008)