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.

Research Themes

  • Big Data Processing
  • Data Mining
  • Machine Learning
  • Social Media Processing
  • Cloud Computing
  • Multimedia Information Processing
  • Internet of Thing (IoT)
  • Database Systems

Research Team

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