THE IMPLEMENTATION OF ASSOCIATION RULES IN ANALYZING THE SALES OF AMIGO GROUP

Edit
Abstract: A retail company usually produce large sales transactions data. These data can be utilized  with  the  application  of  data  mining,  which  is  also  known  as  knowledge  data discovery. Association rules is one of the most famous data mining study that can be used to generate items that frequently purchased together in sales transactions. This  project  is  a  web-based  data  mining  project  for  a  company  called  Amigo Group.  The  algorithm  used  for  association  rules  implementation  is  called  FP-Growth algorithm.  This  algorithm  will  form  a  data  structure  called  FP-Tree  and  extract  the  rules based  on  its  FP-Tree.  The  result  of  this  application  will  be  used  to  help  Amigo  Group’s managers understand about customers buying behavior and analyze pattern of items which are usually purchased together. Then, the manager can create marketing strategies in order to increase sales of the items. 
Key Words: Data Mining, FP-Growth, FP-Tree
Author: Bobby Fernando, Budi Susanto
Journal Code: jptinformatikagg110004

Artikel Terkait :