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Big Data and Data Mining
The areas of computer science evolve gradually. Due to network and communication, the curriculum evolves from traditional computer science to “big data/data science”. Internet, e-commerce, social media, Internet of Things, the whole world is connected as the neuronal system in the human body. To process the information from all of the neurons is the big data problem. At the age of the Internet of Things (IoT), we are facing big data.
Most of the big data problems now are application oriented. We first need domain knowledge to clean the data, the statistics, optimization, machine learning, and data mining techniques are then applied to extract important/useful information. The applications are mostly the recommendation system in e-commerce, security in the computer system, and classification in bioinformatics. People believe that big data and Internet of Things will be part of our life, just the same as the mobile phone to us right now.
We also study the theoretical part of the big data problem, mostly are statistics and high dimensional geometry. Due to the high dimension, computation will also a problem, for example, we shall deal with a very big matrix. Another issue studied is the visualization of the big data.
In the age of the Internet of Thing, big data is usually in the form of “stream”. The theoretical and implementation issues will be studied.
|王協源 Shie-Yuan Wang||王昱舜 Yu-Shuen Wang||王豐堅 Feng-Jian Wang||李毅郎 Yih-Lang Li||易志偉 Chih-Wei Yi|
|林一平 Jason Yi-Bing Lin||林文杰 Wen-Chieh Lin||胡毓志 Yuh-Jyh Hu||范倫達 Lan-Da Van||荊宇泰 Yu-Tai Ching|
|袁賢銘 Shyan-Ming Yuan||張明峰 Ming-Feng Chang||曹孝櫟 Shiao-Li Tsao||莊榮宏 Jung-Hong Chuang||陳奕廷 Yi-Ting Chen|
|彭文孝 Wen-Hsiao Peng||彭文志 Wen-Chih Peng||曾文貴 Wen-Guey Tzeng||曾新穆 Vincent S. Tseng||黃俊龍 Jiun-Long Huang|
|黃敬群 Ching-Chun Huang||蔡錫鈞 Shi-Chun Tsai||蕭旭峰 Hsu-Feng Hsiao||洪瑞鴻 Jui-Hung Hung|