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Data Mining on Smartphones

Associate Professor Zahid Islam of Charles Sturt University Australia presents their data-mining apps for android smartphones. The DataLearner app is freely available from google play and the preprints of the papers discussed in the video are freely downloadable from the following web links: Yates, D., and Islam, M. Z. (2019): Readiness of Smartphones for Data Collection and Data Mining with an Example Application in Mental Health, In Proc. of the 17th Australasian Data Mining Conference (AusDM 2019), Adelaide, Australia, December 2-5, 2019, Le T. et al. (eds) Data Mining, AusDM 2019, Communication in Computer and Information Science, Vol. 1127, pg. 235-246, Springer, Singapore. Preprint freely available at: https://www.researchgate.net/publicat... Yates, D., Islam, M. Z., and Gao, J. (2019): DataLearner: A Data Mining and Knowledge Discovery Tool for Android Smartphones and Tablets, In Proc. of the 15th International Conference on Advanced Data Mining and Applications (ADMA 2019), pg. 828-838, J. Li et al. (Eds.): ADMA 2019, LNAI 11888, Dalian, China, 21 - 23 November, 2019 Preprint freely available at: https://www.researchgate.net/publicat... Yates, D., Islam, M. Z., and Gao, J. (2018): Implementation and Performance Analysis of Data Mining Classification Algorithms on Smartphones, In Proc. of the 16th Australasian Data Mining Conference (AusDM 2018), Bathurst, Australia, November 28-30, 2018, Paper Available Data Mining, Editors: Islam, R., Koh, Y.S., Zhao, Y., Warwock, G., Stirling, D., Li, C-T., and Islam, Z., pp. 331-343, ISBN 978-981-13-6661-1. Preprint freely available at: https://www.researchgate.net/publicat...