Vol. XLII (November 2005), 483–494 483 © 2005, American Marketing Association ISSN: 0022-2437 (print), 1547-7193 (electronic) *Kamel Jedidi is Professor of Marketing (e-mail: [email protected]), and Rajeev Kohli is Professor of Marketing (e-mail: [email protected]), Graduate School of Business, Columbia University. The authors thank the three anonymous JMR reviewers for their constructive sugges...

Scalability has become a de facto non-functional requirement for today’s Internet applications that start small and aim to become a huge success. The ability of the system to automatically scale is required by the dynamic nature of the workload experienced by these applications. In this context, the DEPAS (Decentralized Probabilistic Auto-Scaling) algorithm assumes an overlay network of computi...

Due to the increasing use of wireless communications, infrastructure-less networks such as Delay Tolerant Networks (DTNs) should be highly considered. DTN is most suitable where there is an intermittent connection between communicating nodes such as wireless mobile ad hoc network nodes. In general, a message sending node in DTN copies the message and transmits it to nodes which it encounters. A...

A variety of approaches have been used to infer decision rules used by consumers. These approaches include protocol methods, self-reports, and non-linear compensatory and noncompensatory models of judgement. But there is little work on inferring the rules from choice or preference data, a situation that stands in contrast with the great progress in data-analytic techniques for linear models. Th...

Heterogeneous information spaces are typically created by merging data from a variety of different applications and information sources. These sources often use different identifiers for data that describe the same real-word entity (for example an artist, a conference, an organization). In this paper we propose a new probabilistic Entity Linkage algorithm for identifying and linking data that r...

We consider the problem of characterisation of sequences of heterogeneous symbolic data that arise from a common underlying temporal pattern. The data, which are subject to imprecision and uncertainty, are heterogeneous with respect to classification schemes, where the class values differ between sequences. However, because the sequences relate to the same underlying concept, the mappings betwe...

Vol. XLII (November 2005), 483–494 483 © 2005, American Marketing Association ISSN: 0022-2437 (print), 1547-7193 (electronic) *Kamel Jedidi is Professor of Marketing (e-mail: [email protected]), and Rajeev Kohli is Professor of Marketing (e-mail: [email protected]), Graduate School of Business, Columbia University. The authors thank the three anonymous JMR reviewers for their constructive sugges...