Pairwise-based visual labeling system for event-tracking data(基于成对关系的埋点数据可视化标注系统)

Autor: 孙嘉顺(SUN Jiashun), 翁罗轩(WENG Luoxuan), 刘实(LIU Shi), 沈健(SHEN Jian), 潘启灏(PAN Qihao), 张子麟(ZHANG Zilin), 陈为(CHEN Wei)

Publikováno v: Zhejiang Daxue xuebao. Lixue ban, Vol 51, Iss 4, Pp 472-482 (2024)

Event-tracking technology embeds special code within applications to collect data during runtime, which aids developers in performance analysis and evaluation. Multidimensional event-tracking data is often automatically analyzed through evaluation mo

Externí odkaz: https://doaj.org/article/ab655c70e3984a84a898089ee7035451

联邦可视化：一种隐私保护的可视化新模型

Autor: 魏雅婷, 王智勇, 周舒悦, 陈为

Publikováno v: 智能科学与技术学报, Vol 1, Iss 4, Pp 415-420 (2019)

概述了联邦可视化的概念、框架、方法与应用。联邦可视化框架能够在不进行数据整合的情况下，针对具体任务和特定场景进行加密训练，得出反映全体数据特征的可视化模型。联邦可视化�

Externí odkaz: https://doaj.org/article/ef518f8f0bfe4905b014c78c3f451fd5

数据驱动的粮食产能组合预测模型.

Autor: 张岳¹ 980224622@qq.com, 陈为真¹ 38306783@qq.com, 陈梦娇¹

Publikováno v: Journal of Nanjing University of Information Science & Technology (Natural Science Edition) / Nanjing Xinxi Gongcheng Daxue Xuebao (ziran kexue ban). Jan2024, Vol. 16 Issue 1, p46-55. 10p.

ModelLogVis: 面向模型服务的日志异常可视分析方法. (Chinese)

Autor: 卢裕弘, 朱琳, 封颖超杰, 王斯加, 林正轩, 潘嘉铖, 陈为

Publikováno v: Journal of Computer-Aided Design & Computer Graphics / Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao; Jul2024, Vol. 36 Issue 7, p1106-1114, 9p

基于成对关系的埋点数据可视化标注系统. (Chinese)

Autor: 孙嘉顺, 翁罗轩, 刘实, 沈健, 潘启灏, 张子麟, 陈为

Publikováno v: Journal of Zhejiang University (Science Edition); Jul2024, Vol. 51 Issue 4, p472-482, 11p