Modeling the Product Space as a Network

35 Pages Posted: 27 Oct 2008

See all articles by Nitesh Chawla

Nitesh Chawla

University of Notre Dame

Troy Raeder

University of Notre Dame

Marina Blanton

University of Notre Dame

Keith Frikken

University of Notre Dame

Date Written: October 22, 2008

Abstract

In the market basket setting, we are given a series of transactions each composed of one or more items and the goal is to find relationships between items, usually sets of items that tend to occur in the same transaction. Association rules, a popular approach for mining such data, are limited in the ability to express complex interactions between items. Our work defines some of these limitations and addresses them by modeling the set of transactions as a network. We develop both a general methodology for analyzing networks of products, and a privacy-preserving protocol such that product network information can be securely shared among stores. In general, our network based view of transactional data is able to infer relationships that are more expressive and expansive than those produced by a typical association rules analysis.

Suggested Citation

Chawla, Nitesh and Raeder, Troy and Blanton, Marina and Frikken, Keith, Modeling the Product Space as a Network (October 22, 2008). NET Institute Working Paper No. 08-18, Available at SSRN: https://ssrn.com/abstract=1285784 or http://dx.doi.org/10.2139/ssrn.1285784

Nitesh Chawla (Contact Author)

University of Notre Dame ( email )

361 Mendoza College of Business
Notre Dame, IN 46556-5646
United States

Troy Raeder

University of Notre Dame ( email )

361 Mendoza College of Business
Notre Dame, IN 46556-5646
United States

Marina Blanton

University of Notre Dame ( email )

361 Mendoza College of Business
Notre Dame, IN 46556-5646
United States

Keith Frikken

University of Notre Dame ( email )

361 Mendoza College of Business
Notre Dame, IN 46556-5646
United States

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