方娜
  • 单位:安徽理工大学   数学与大数据学院
  • 职称:讲师
  • 出生:1994.1.3
  • 性别:女

流程挖掘、煤矿大数据分析与挖掘

[1] Lu Ke, Fang Xianwen, Fang Na, et al. Discovery of effective infrequent sequences based

on maximum probability path[J]. Connection Science, 2022, 34(1): 63-82. (SCI)

[2] Fang Na, Fang Xianwen, Lu Ke, et al. Online Incremental Mining Based on Trusted Behavior Interval[J]. IEEE Access, 2021, 9: 158562-158573. (SCI)

[3] Na Fang, Xianwen Fang, Ke Lu. Online incremental updating for model enhancement based on multi-perspective trusted intervals[J]. Connection Science, 2022, 34(1): 1956-1980. (SCI)

[4] Fang Na, Fang Xianwen, Lu Ke. Anomalous behavior detection based on isolation forest model with multiple perspectives business process [J]. Electronics, 2022, 11(21): 3640-3664. (SCI

[5] 卢可,方贤文,方娜.基于行为向量的在线事件流预测.计算机集成制造系统.EI

专利与软著

[1] 方娜方贤文王丽丽卢可. 一种小区门禁监控识别设备,ZL202111084722.6,中国(发明专利,已授权).

[2] 方娜方贤文陶小燕卢可.一种煤矿井下环境监测设备,ZL202111648778.X,中国(发明专利,已授权)

[3] 方娜,方贤文. 基于事件流的聚类增量挖掘系统2022SR0852071软著