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R: Data Analysis and Visualization by Ágnes Vidovics-Dancs, Kata Váradi, Tamás Vadász, Ágnes Tuza, Balázs Árpád Szucs, Julia Molnár, Péter Medvegyev, Balázs Márkus, István Margitai, Péter Juhász, Dániel Havran, Gergely Gabler, Barbara Dömötör, Gergely Daróczi, Ádám Banai, Milán Badics, Ferenc Illés, Edina Berlinger, Bater Makhabel, Hrishi V. Mittal, Jaynal Abedin, Brett Lantz, Tony Fischetti

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Mining sequence dataset

Sequential pattern mining is the major task for sequence dataset mining. The A-Priori-life algorithm is used to mine sequence patterns that use the A-Priori-life algorithm, which applies a breath-first strategy. However, for the pattern-growth method, a depth-first strategy is used instead. The algorithm sometimes integrates with constraints for various reasons.

The common purchase patterns of the customers of the store can be mined from sequential patterns. In other aspects, especially advertisement or market campaign, sequential patterns play an important role. The individual customer's behavior can be predicted from sequential patterns in the domain of web log mining, web page recommendation system, bioinformatics analysis, ...

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