Introduction to the special issue on Data Science in Asia (with PAKDD’2017)
Tài liệu tham khảo
Yenala, H., Jhanwar, A., Chinnakotla, M.K., Goyal, J.: Deep learning for detecting inappropriate content in text. Int. J. Data. Sci. Anal. (2018). https://doi.org/10.1007/s41060-017-0088-4
Meng, T., Yuan, B.: Parallel edge-based visual assessment of cluster tendency on GPU. Int. J. Data. Sci. Anal. (2018). https://doi.org/10.1007/s41060-018-0100-7
Naik, A., Maeda, H., Kanojia, V., Fujita, S.: Scalable Twitter user clustering approach boosted by Personalized PageRank. Int. J. Data. Sci. Anal. (2018). https://doi.org/10.1007/s41060-017-0089-3
Anaissi, A., Khoa, N.L.D., Wang, Y.: Automated parameter tuning in one-class support vector machine: an application for damage detection. Int. J. Data. Sci. Anal. (2018). https://doi.org/10.1007/s41060-018-0151-9
Dai Nguyen, T., Gupta, S., Rana, S., Venkatesh, S.: Stable Bayesian optimization. Int. J. Data. Sci. Anal. (2018). https://doi.org/10.1007/s41060-018-0119-9
Goh, W.P., Tao, X., Zhang, J., Yong, J., Zhang, W., Xie, H.: Drug prescription support in dental clinics through drug corpus mining. Int. J. Data. Sci. Anal. (2018). https://doi.org/10.1007/s41060-018-0149-3
Hayashi, T., Ohsawa, Y.: Inferring variable labels using outlines of data in Data Jackets by considering similarity and co-occurrence. Int. J. Data. Sci. Anal. (2018). https://doi.org/10.1007/s41060-018-0152-8