Data mining for hotel firms: Use and limitations
Cornell Hotel and Restaurant Administration QuarterlyPublished 1 April 2003
Vincent P. Magnini
Citations83
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
Abstract
Additional services and information for Cornell Hotel and Restaurant Administration Quarterly can be found at: Email Alerts: http://cqx.sagepub.com/cgi/alerts Subscriptions: http://cqx.sagepub.com/subscriptions Reprints: http://www.sagepub.com/journalsReprints.nav Permissions: http://www.sagepub.com/journalsPermissions.nav
Keywords
Social SciencesBusiness, Management and Accounting
Journal of the Royal Statistical Society Series A (General)Multivariate Data Analysis.
35,845 Citations1973H. Herne, William W. Cooley +1 more
University of Maribor digital library (University of Maribor)Marketing for Hospitality and Tourism
1,892 Citations1995Philip Kotler, John T. Bowen +1 more
Decision Support SystemsKnowledge management and data mining for marketing
565 Citations2001Michael Shaw, Chandrasekar Subramaniam +2 more
A systematic methodology that uses data mining and knowledge management techniques is proposed to manage the marketing knowledge and support marketing decisions and can be the basis for enhancing customer relationship management.
Journal of Marketing ResearchRethinking Market Research: Putting People Back In
551 Citations1997Gerald Zaltman
Cornell Hotel and Restaurant Administration QuarterlyWhy destination areas rise and fall in popularity: an update of a Cornell Quarterly classic
398 Citations2001Stanley C. Plog
Knowledge Management Tools
260 Citations2013Rudy L. Ruggles
Cornell Hotel and Restaurant Administration QuarterlyMarketing challenges for the next decade
56 Citations2000Chekitan S. Dev, Michael D. Olsen
Computers & Industrial EngineeringA genetic algorithm methodology for data mining and intelligent knowledge acquisition
35 Citations2001Ali Κ. Kamrani, Rong Wang +1 more
A six-step methodology for data mining is presented and steps from the methodology are applied in a case study to develop a GA-Based system for intelligent knowledge discovery for machine diagnosis.
Tourism AnalysisAntecedents of technological change in the hospitality industry.
24 Citations1999Michael D. Olsen, Daniel Connolly
Cornell Hotel and Restaurant Administration QuarterlyData-base Marketing
21 Citations1990Paula A. Francese, Leo M. Renaghan
Cornell Hotel and Restaurant Administration QuarterlyData Warehousing
17 Citations1998Robert K. Griffin
Interviews with managers of data-warehousing projects of the world's largest hotel corporations indicate that the hotel industry is just beginning to adopt the technology, some of them using data marts, which are smaller and more focused than data warehouses.
