Accepted Manuscript A Lattice-based Approach for Mining Most Generalization Association Rules Bay Vo, Tzung-Pei Hong, Bac Le PII: S0950-7051(13)00055-5 DOI: http://dx.doi.org/10.1016/j.knosys.2013.02.003 Reference: KNOSYS 2486 To appear in: Knowledge-Based Systems Received Date: 19 December 2011 Revised Date: 31 January 2013 Accepted Date: 1 February 2013 Please cite this article as: B. Vo, T-P. Hong, B. Le, A Lattice-based Approach for Mining Most Generalization Association Rules, Knowledge-Based Systems (2013), doi: http://dx.doi.org/10.1016/j.knosys.2013.02.003 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.