Prof. Jiawei Han is widely known as the pioneer in the field of Data Mining. To date, he has published over 900 papers, and he is certainly a legend in creating impacts in Data Mining: His papers have attracted more than 150,000 citations according to Google Scholar, making him one of the most cited Computer Scientists.
On Friday May 18th, Prof. Jiawei Han, Abel Bliss Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign, gave a Distinguished Lecture titled “Mining Structures from Massive Text Data: A Data-Driven Approach” to a packed room of students at UC Santa Barbara’s Computer Science Department. In this talk, he reviewed his team’s scientific inquiry of mining structure that ranges over distilling knowledge from structure network data to pattern mining and phrase mining from unstructured text data. Dr. Han showcased the magical power of his algorithm that predicts the complex structure of scientific co-authorship and attributes, as well as the practical application that detects key molecules that associate with key cardiological diseases from biomedical texts. It is worth noticing that Dr. Han has graduated almost a dozen rising star Data Mining faculty members, who now teach at top universities across the globe.
Numerous intriguing questions were asked towards the end of his talk, and following his lecture, Computer Science Department Chair Prof. Matthew Turk presented Prof. Jiawei Han a plaque of honor. Prof. Xifeng Yan further led the “Fireside Chat” session, and recounted Prof. Han’s journey of developing research areas in Data Mining.
Photo Credits: Tim Sherwood, Jiawei Wu, and Yu Su.