Abstract. In many cost-sensitive environments class probabilityestimates are used by decision makers to evaluate the expected utilityfrom a set of alternatives. Supervised learning can be used to buildclass probability estimates; however, it often is very costly to obtaintraining data with class...

It can be expensive to acquire the data required for businesses toemploy data-driven predictive modeling, for example to model consumerpreferences to optimize targeting. Prior research has introduced“active learning” policies for identifying data that areparticularly useful for model...

Prediction in financial domains is notoriously difficult for a number ofreasons. First, theories tend to be weak or non-existent, which makesproblem formulation open ended by forcing us to consider a large numberof independent variables and thereby increasing the dimensionality ofthe search...

Prior studies have questioned the degree of anonymity of thedouble-blind review process for scholarly research articles. Forexample, one study based on a survey of reviewers concluded that authorsoften could be identified by reviewers using a combination of theauthor's reference list and the...

Model induction from relational data requires aggregation of values ofattributes of related entities. This paper makes three contributions tothe study of relational learning.(1) It presents a hierarchy ofrelational concepts of increasing complexity, using relational schemacharacteristics such as...

Viral or buzz marketing takes advantage of communication linkages topropagate positive influence regarding a product or service.TelE-commerce is an ideal domain within which to study viral marketing,because communication linkages can be observed. In this paper, we followa new telE-commerce...

This paper is about constructing confidence bands around ROC curves. Wefirst introduce to the machine learning community three band-generatingmethods from the medical field, and evaluate how well they perform. Suchconfidence bands represent the region where the “true” ROCcurve is expected to...

Network-based marketing refers to a collection of marketing techniquesthat take advantage of links between consumers to increase sales. Weconcentrate on the consumer networks formed using direct interactions(e.g., communications) between consumers. We survey the diverseliterature on such...

Researchers and practitioners increasingly are gaining access to data onexplicit social networks. For example, telecommunications and technologyfirms record data on consumer networks (via phone calls, emails,voice-over-IP, instant messaging), and social-network portal sites suchas MySpace,...