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Abstract-Finding Frequent Sequential Pattern (FSP) is an important problem in web usage mining. In this paper, we systematically explore a pattern-growth approach for efficient mining of sequential patterns in large sequence database. The approaches adopts a (divide and conquer) pattern-growth principle as follows: Sequence databases are recursively(More)
Reinforcement learning is an area of machine learning that is concerned with how an agent should take actions in an environment so that it can maximize its cumulative rewards. Unlike most machine learning techniques, the learner is not told which action it should take but instead must discover which action maximizes its cumulative reward by trying them.(More)
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