Title（题目）: Data Mining for Product Bundling and Pricing
Product bundling is a marketing strategy that has been widely studied in research literature and extensively used in practice.For product bundling, multiple products are packaged as a single bundle and sold fora discounted price.With the growing quantity of products and huge possible bundling combinations, it is necessary to develop algorithmic approaches to determine which products should be in a profitable bundle, and what the proper price is for a bundle.In this talk, we present a new framework for product bundle design and bundle pricing.This framework incorporates various data mining methods.It is capable of determining the product combination and price of a bundle in order to maximize the profit.
Hai Wang is a Full Professor at the Sobey School of Business at Saint Mary's University, Canada, and an Adjunct Professor in the Faculty of Computer Science at Dalhousie University, Canada.He received his B.Sc. from the University of New Brunswick, Canada, and his M.Sc. and Ph.D. from the University of Toronto, Canada.His research has been funded by the Natural Sciences and Engineering Research Council of Canada.He has published 5 textbooks as well as more than 90 papers on management information systems, business intelligence, data mining, database management, knowledge management, and e-commerce.His current research interests are on big data, business analytics, and shared services.