Data mining for hotel firms: Use and limitations

• Published in: The Cornell hotel and restaurant administration quarterly Vol. 44; no. 2; pp. 94 - 105
• Main Authors: Magnini, Vincent P., Honeycutt, Earl D., Hodge, Sharon K.
• Format: Journal Article
• Language: English
• Published: Ithaca Elsevier Inc 01.04.2003; SAGE PUBLICATIONS, INC
• Subjects: Brand loyalty; Corporate profits; Customers; Data mining; Decision making; Gaming machines; Hospitality industry; Hotels & motels; Hypothesis testing; Information systems; Market strategy; Marketing; Neural networks; Software; Trends; United States > US

Data mining is a largely automated process that uses statistical analyses to sift through massive data sets to detect useful, non-obvious, and previously unknown patterns or data trends. The emphasis is on the computer-based exploration of previously uncharted relationships (i.e., using "machin...