Segmentation of Retail Mobile Market Using HMS Algorithm

摘要: In the modern world of marketing, analyzing trends in market is a key point towards to scope improvement any company. Considering analysis retail where change very frequently based on customer needs and interest highly challenging. Market segmentation one approaches included which gives diverse view market.  The research here concentrates, especially case study fast moving consumable goods identifying patterns by applying novel data mining approach. Data includes wide variety techniques algorithm can be effectively used process analysis. work carried out coins new combines various association rules techniques, HMS (Hybrid segmentation) with some specialized criteria support segmentation. primary needed for operation are collected through questionnaire survey conducted people from demographic regions as well age groups. Used quota sampling approach research, helps large dataset also extract useful information required model system. system learning improves functionality set improves, paper implements hybrid segments mobile product groups provides prediction suggestion company customer.