An Algorithm for Trend Partition Detection from Sequential Data
نویسندگان
چکیده
This paper focuses on the detection of trend-based knowledge contained in sequential data. Some key concepts are redefined and an algorithm using the inertia test to dynamically partition a sequence to recognize trend partitions is also proposed. Experiment results prove the effectiveness of the algorithm, and exposing the limitation of traditional primitives. Some suggestions on parameter selection in practical application are given at the same time.
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عنوان ژورنال:
- IJCSA
دوره 13 شماره
صفحات -
تاریخ انتشار 2016