Organization profile

Organisation profile

The rise of Big Data Analysis has revolutionized the related industries and applications in recent years. Data Science has also inspired the resurgence of artificial intelligence, which has led to the competition for the cultivation of talents in data science research and related industry of international and domestic academic fields. Today's so-called Data Scientists refer to experts who can extract useful information from various data sets and apply them in different fields. Therefore, data scientists must not only have the ability of statistical data analysis and scientific computing related programing, but more importantly, they can integrate big data analysis into various professional fields. Basically, data science is a cross-disciplinary science that includes statistical science, information science, and knowledge in related fields. Compared with other data science-related teaching units, the training of our institute emphasizes the statistical data analysis courses required by data science as the main axis, supplemented by information engineering courses. In addition, NCKU is a comprehensive university, the faculty of each department has a strong lineup, and the complete information of each center can be used as a strong backing for the professional application knowledge field of the institute and the development of data science.

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Bayesian Variable Selection Mathematics
Labels Engineering & Materials Science
Social Networks Mathematics
Variable Selection Mathematics
Functional Magnetic Resonance Imaging Mathematics
Particle swarm optimization (PSO) Engineering & Materials Science
Censored Data Mathematics
Time series Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2000 2019

Cerebral control of winking before and after learning: An event-related fMRI study

Lin, C. C. K., Lee, K. J., Huang, C. H. & Sun, Y. N., 2019 Dec 1, In : Brain and Behavior. 9, 12, e01483.

Research output: Contribution to journalArticle

Open Access
Blinking
Magnetic Resonance Imaging
Learning
Frontal Lobe
Eyelids
1 Citation (Scopus)
Open Access
Lung Neoplasms
Health
Quality of Life
Drug Therapy
Therapeutics

FineNet: A joint convolutional and recurrent neural network model to forecast and recommend anomalous financial items

Tsai, Y. C., Chen, C. Y., Ma, S. L., Wang, P. C., Chen, Y. J., Chang, Y. C. & Li, C. T., 2019 Sep 10, RecSys 2019 - 13th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc, p. 536-537 2 p. (RecSys 2019 - 13th ACM Conference on Recommender Systems).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Recurrent neural networks
Time series
Neural networks
Learning systems
Industry