Applied Data Science Invited Speakers

The Applied Data Science Invited Talks will provide a venue for leading experts in the world of applied data mining and knowledge discovery. These invited talks will feature highly influential speakers who have directly contributed to successful data mining applications in their respective fields. The talks and discussions will focus on innovative and leading-edge, large-scale industry or government applications of data mining in areas such as finance, health-care, bio-informatics, public policy, infrastructure, telecommunications, social media and computational advertising.


Keynote: Wang-Chiew Tan

Wang-Chiew Tan

Megagon Labs

Unleashing the Power of Subjective Data: Managing Experiences as First-Class Citizens

"Subjective data refers to data that contains opinions and experiences. Such data is ubiquitous in product reviews, tweets, and discussion forums in social media. Consumers today spend considerable time sifting through subjective data to make informed decisions about purchases. At Megagon Labs, we are building technologies to synthesize knowledge from subjective data and to facilitate searching over them. In this talk, I will overview some of the technologies we have developed in the directions of subjective data preparation and integration, experience discovery and search, subjective knowledge representation, and data analytics and exploration. "

Wang-Chiew Tan leads the research efforts at Megagon Labs with the goal of building advanced technologies to enhance search by experience. They conduct research on data integration, information extraction, text mining and summarization, knowledge base construction and commonsense reasoning, and data visualization. Prior to joining Megagon Labs, She was a Professor of Computer Science at University of California, Santa Cruz. She also spent two years at IBM Research - Almaden. She received her B.Sc. (First Class) in Computer Science from the National University of Singapore and her Ph.D. in Computer Science from the University of Pennsylvania.