Data Mining in Practice: Key Techniques and Real World Applications
Tuesday, May 14, 2013 at 6:30 PM (PDT)
San Jose, CA
of Silicon Valley Presents:
Speaker: Junling Hu, Data Mining Expert, Founder of aboutdm.com
Time: 6:30 PM (PT) Networking/Refreshments, 7:00 PM Presentation
Location: Cadence / Bldg 10, 2655 Seely Ave, San Jose, CA (map)
This talk will provide an overview of major data mining areas and their practical application. It will cover the history of the development of data mining and will detail key techniques such as: Recommender Systems, Machine Learning, Graph Mining and Text Mining. Each technique will be illustrated with a practical applications including: mobile app commendation, credit scoring, social network mining, product search and a few more if time permits.
Junling Hu is an expert in data mining and author of an upcoming book: Data Mining in Practice (O’Reilly Media). She is the main contributor for data mining blog site, aboutdm.com. She was a Senior Manager of Data Science at PayPal, where she led the research and development effort in the data science team. Before joining PayPal, Junling led a data mining team at eBay Inc for 2 years. She led the effort on large-scale data mining on structured and unstructured data. Before joining eBay, Junling was senior researcher and manager of data mining group at Robert Bosch research lab. At Bosch, she led the data mining effort on large-scale healthcare data. Prior to Bosch, Junling was an Assistant Professor of Computer Information System at University of Rochester from 2000
Junling has published many academic papers and has more than 1,000 scholarly citations on her work. Junling is a recipient of Sloan Fellowship for Distinguished Women in Engineering. Junling is also a recipient of CAREER award from National Science Foundation. She served on NSF review panels for funding decision on computer research projects in the U.S..
Junling received her Ph.D. in computer science and Ph.D. pre-candidacy in economics from University of Michigan in Ann Arbor, plus M.S. in economics from Florida State University.
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