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: Network Algorithms, Data Mining, and Applications; NET, Moscow, Russia, Ilya Bychkov,Valery A. Kalyagin,Oleg Prokopyev Conference proceedin

[复制链接]
楼主: Hoover
发表于 2025-3-28 17:56:29 | 显示全部楼层
发表于 2025-3-28 20:44:10 | 显示全部楼层
Conference proceedings 2020018. The conference brought together scientists, engineers, and researchers from academia, industry, and government. .Contributions in this book focus on the development of network algorithms for data mining and its applications. Researchers and students in mathematics, economics, statistics, comput
发表于 2025-3-29 02:23:32 | 显示全部楼层
发表于 2025-3-29 06:39:56 | 显示全部楼层
Computational Complexity of SRIC and LRIC Indices consideration. Our main focus is on the performance of SRIC and LRIC indices. We propose several modes on how to decrease the computational complexity of these indices. The runtime comparison of the sequential and parallel computation of the proposed models is also given.
发表于 2025-3-29 07:43:20 | 显示全部楼层
发表于 2025-3-29 15:15:36 | 显示全部楼层
Social Mechanisms of the Subject Area Formation. The Case of “Digital Economy”twork modeling in the Text Analyst) and the analysis of semantic networks. The results, approaches, and methods of this study could be used during the investigation of the other large thematic fields related to new ideological currents, being developed as an element of social design and management.
发表于 2025-3-29 18:50:08 | 显示全部楼层
Methodology for Measuring Polarization of Political Discourse: Case of Comparing Oppositional and Pas to understand social models and attitudes embedded in the discourse and the subsequent behavior of representatives of these groups. On the other hand, it is possible to extend a set of keywords for text search of a certain political orientation, based on the obtained results.
发表于 2025-3-29 21:29:40 | 显示全部楼层
发表于 2025-3-30 01:06:36 | 显示全部楼层
发表于 2025-3-30 06:49:19 | 显示全部楼层
A Survey on Variable Neighborhood Search Methods for Supply Network Inventoryothers. In this chapter, we present recent successful applications of variable neighborhood search (VNS) for the efficient solution of such problems, review the state-of-the-art solution methods, and also discuss some future research directions.
 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, 2025-5-3 05:54
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