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: Web Information Systems Engineering – WISE 2017; 18th International C Athman Bouguettaya,Yunjun Gao,Qing Li Conference proceedings 2017 Spr

[复制链接]
楼主: duodenum
发表于 2025-3-25 06:40:10 | 显示全部楼层
When Will a Repost Cascade Settle Down?tantial previous work has studied and predicted various aspects of repost cascades such as growth, burst and recur. However, how or even whether it is possible to predict when a repost cascade will settle down remains to be an open problem. Existing models cannot be directly applied to solve the pro
发表于 2025-3-25 08:37:14 | 显示全部楼层
发表于 2025-3-25 13:05:47 | 显示全部楼层
Maximal Sub-prevalent Co-location Patterns and Efficient Mining Algorithmsence and public transportation. Observe that the existing approaches only consider the clique instances where feature instances form a clique and may neglect some important spatial correlations among features in practice, in this paper, we introduce . to measure the prevalence of co-location pattern
发表于 2025-3-25 15:57:28 | 显示全部楼层
Overlapping Communities Meet Roles and Respective Behavioral Patterns in Networks with Node Attribut node attributes. The proposed approach relies on an innovative Bayesian probabilistic model of the statistical relationships among communities, roles, behavioral role patterns and attributes. Essentially, under the devised model, behavioral role patterns define the abstract social functions underly
发表于 2025-3-25 21:38:36 | 显示全部楼层
发表于 2025-3-26 00:41:28 | 显示全部楼层
发表于 2025-3-26 05:39:28 | 显示全部楼层
发表于 2025-3-26 10:24:06 | 显示全部楼层
Extractive Summarization via Overlap-Based Optimized Pickingmethod, OGP proves above . of optimal solution. Since citation context is composed of objective evaluations, OGP also solves subjectivity problem. Our experiment results show that OGP outperforms other baseline methods. And various criteria proves effectively involved under the control of single parameter ..
发表于 2025-3-26 14:24:09 | 显示全部楼层
发表于 2025-3-26 18:59:45 | 显示全部楼层
Mining Co-location Patterns with Dominant Featuresures. Thirdly, an efficient algorithm is proposed for mining DFCP. Finally, we offer an experimental evaluation of the proposed algorithms on both real data sets and synthetic data sets in terms of efficiency, mining results and significance. The results show that our method can effectively discover DFCPs.
 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, 2025-5-14 20:44
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