Mining Progressive Confident Rules in Sequence Databases

Mining Progressive Confident Rules in Sequence Databases

Wynne Hsu (National University of Singapore, Singapore), Mong Li Lee (National University of Singapore, Singapore) and Junmei Wang (National University of Singapore, Singapore)
Copyright: © 2008 |Pages: 25
DOI: 10.4018/978-1-59904-387-6.ch005
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Abstract

Real-life objects can be described by its attribute values. For example, a person has attributes such as gender, date of birth, education level, and job, and so forth. While the gender and date of birth of a person do not change, the education level and job may change with time. If we denote the set of attribute values of an object as its state, then the state of an object changes as the attribute values change with time. The states of an object at different time stamps form a state sequence.

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