Full House for DSC/e’s Distinguished Lecture by Jiawei Han
On July 20th, Jiawei Han, one of the most cited data scientists in the world, gave the DSC/e Distinguished Lecture on “Mining Structures from Massive Text Data: A Data-Driven Approach”. Many Data Science enthusiasts attended his lecture on learn more about the analysis of huge unstructured data sets, i.e., the type of data that is everywhere, but very hard to handle. People had to sit on the stairs and it was impossible to allow more people to register. The successful event illustrated again the broad interest in data science.
Professor Jiawei Han is a distinguished professor working in Department of Computer Science of the University of Illinois at Urbana-Champaign. He is one of the world’s top researchers, working on data mining, information network analysis, database systems, and data warehousing. His book "Data Mining: Concepts and Techniques" is often used as the standard textbook in this field. His achievements are widely acknowledged and his work has had a huge impact on both academic and industry. Currently, he is ranked 3rd in the Top H-Index for Computer Science and Electronics by Guide2Reserach. This is a global ranking based on citations covering all researchers in the broader computer science and electronics area. This illustrates the exceptional qualities of our DSC/e Distinguished Lecture Series speaker.
In his talk Jiawei Han revealed important links between text mining and Big data challenges and opportunities. He proposed a text mining approach that requires only distant supervision or minimal supervision but relies on massive data. Using many examples, he showed that quality phrases can be mined from such massive text data, types can be extracted from massive text data with distant supervision, and relationships among entities can be discovered. This way he demonstrated that it is possible to turn massive text data into structured networks and useful knowledge.
Jiawei Han also visited the DSC/e research group working on process mining. Different members of the AIS group presented recent breakthroughs in process discovery, conformance checking, and process improvement. He also interacted with several DSC/e PhDs to provide feedback on their research. After DSC/e Distinguished Lecture there was a networking event where attendants could discuss data science (and other) topics in an informal setting, enjoying the sun, drinks, and finger food.