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Decision Support and Business Intelligence Systems (8th Edition)

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The article was published on 2006-12-01 and is currently open access. It has received 175 citations till now. The article focuses on the topics: Intelligence cycle & Business analytics.

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A data-driven approach to predict the success of bank telemarketing

TL;DR: A data mining approach to predict the success of telemarketing calls for selling bank long-term deposits in Portuguese retail bank was addressed, with data collected from 2008 to 2013, thus including the effects of the recent financial crisis.

Communications of the Association for Information Systems

TL;DR: It is hoped that HCI studies can provide the evolution of the human centered technology development that enhances the authors' work/job, their various needs, their organizations, their societies, and ourselves.
Journal ArticleDOI

Understanding Satisfied and Dissatisfied Hotel Customers: Text Mining of Online Hotel Reviews

TL;DR: The authors examined the underpinnings of satisfied and unsatisfied hotel customers and found that satisfied customers who are willing to recommend a hotel to others refer to intangible aspects of their hotel stay, such as staff members, more often than unsatisfied customers.

Using data mining for bank direct marketing: an application of the CRISP-DM methodology

TL;DR: In this article, the authors describe an implementation of a data mining project based on the CRISP-DM methodology for bank deposit subscription in a Portuguese marketing campaign, where the business goal is to find a model that can explain success of a contact.
Journal ArticleDOI

Predicting social media performance metrics and evaluation of the impact on brand building: A data mining approach

TL;DR: A decision process flow from the “Lifetime Post Consumers” model is drawn, which by complementing the sensitivity analysis information may be used to support manager's decisions on whether to publish a post.