找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Data Analytics and Management in Data Intensive Domains; 21st International C Alexander Elizarov,Boris Novikov,Sergey Stupnikov Conference

[复制链接]
楼主: 评估
发表于 2025-3-28 16:58:37 | 显示全部楼层
https://doi.org/10.1007/978-0-230-80253-7ions from a science foundation. The proposed method is compared with the method based on topic modeling. Experimental studies show that in terms of such metrics as recall, MAP and NDCG, the proposed method is slightly better. In conclusion, the current limitations of the proposed method are discussed.
发表于 2025-3-28 22:25:46 | 显示全部楼层
发表于 2025-3-29 01:35:01 | 显示全部楼层
On Information Search Measures and Metrics Within Integration of Information Systems on Inorganic Sustems on inorganic substances and materials properties by introducing the relevance graph built on chemical objects. A “chemical similarity” metric and measure are proposed and their properties are discussed.
发表于 2025-3-29 03:40:09 | 显示全部楼层
发表于 2025-3-29 09:37:27 | 显示全部楼层
发表于 2025-3-29 15:27:59 | 显示全部楼层
Realization of Different Techniques for Anomaly Detection in Astronomical Databasesive anomaly detection method shows the best performance, while among purely unsupervised techniques Gaussian mixture model and one-class support vector machine methods outperform isolation forest and local outlier factor methods.
发表于 2025-3-29 18:21:15 | 显示全部楼层
发表于 2025-3-29 21:33:03 | 显示全部楼层
发表于 2025-3-30 01:29:25 | 显示全部楼层
发表于 2025-3-30 07:19:00 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-4-28 19:44
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表