[1]LIU Mulei,XU Feifei.A sequence data, cost-sensitive classification algorithm based on three-way decisions[J].CAAI Transactions on Intelligent Systems,2019,14(6):1255-1261.[doi:10.11992/tis.201905049]
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A sequence data, cost-sensitive classification algorithm based on three-way decisions

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 14 Number of periods: 2019 6 Page number: 1255-1261 Column: 学术论文—机器学习 Public date: 2019-11-05
Title:
A sequence data, cost-sensitive classification algorithm based on three-way decisions
Author(s):
LIU Mulei;  XU Feifei
School of Computer Science and Technology, Shanghai University of Electric Power, Shanghai 200090, China
Keywords:
cost-sensitive; three-way decision; LSTM; sequence data classification; classification algorithm; high-cost categorie; cost estimate
CLC:
TP181
DOI:
10.11992/tis.201905049
Abstract:
Cost-sensitive classification is different from the general classification method, which pays more attention to the classification accuracy of high-cost categories, but tolerates the accuracy of global classification. Three-way decisions are a solution to a cost-sensitive classification problem and lack support for sequence data. Combined with the ability of the LSTM model in sequence data processing, a method for classifying sequence data a using three-way decision method (3WD) is proposed. First, a general classification of the original data was done through the LSTM network; second, an overall cost estimate was performed on the classification result of step one; finally, the high-risk result was delayed or rejected. Methods were tested on four data sets and two sets of comparative experiments were performed. Experimental results showed that the new method distinguished the classification results of the LSTM model without changing the original structure.
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