Mining frequent max-sequential patterns from customer's portfolio-database

摘要: A study of mining frequent max-sequential patterns from customer's portfolio-database was carried out. containing each transactions developed using the bird, Tytree, k-factor and critical patterns. In order to further analyze port folio-database an algorithm called FreMaxSpan Visual Basic Programming Language Microsoft access as back-end for database. The has 1Jlecapability store product's name, mnemonic, name in separate tables where data can be referenced. tested results obtained were compared with existing Max-Miner algorithm. It found out that good performance generates kiore than Furthermore, applications our decision-making, identification ordering habits, determination sequence profitability, products influence sales measure banks performance, best prospective customers how retain them given.