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 and Big Data; 6th International Jo Bohan Li,Lin Yue,Toshiyuki Amagasa Conference proceedings 2023 The Editor(s) (if applicable) and The

[复制链接]
楼主: Corrugate
发表于 2025-3-25 05:45:17 | 显示全部楼层
A Temporal-Context-Aware Approach for Individual Human Mobility Inference Based on Sparse Trajectorytiment on individual’s mobile behavior is gradually strengthened, so that the temporal context when a check-in occurs can be accurately depicted. We leverage Bayesian Personalized Ranking (BPR) to optimize the model, where a novel negative sampling method is employed to alleviate data sparseness. Ba
发表于 2025-3-25 10:48:14 | 显示全部楼层
发表于 2025-3-25 12:57:39 | 显示全部楼层
Unsupervised Online Concept Drift Detection Based on Divergence and EWMAhm can efficiently detect the concept drift, and the retrained classifier effectively improves the classification accuracy for the subsequent data. Compared with some supervised algorithms, the detection accuracy and classification accuracy are higher for most datasets.
发表于 2025-3-25 18:03:56 | 显示全部楼层
发表于 2025-3-25 23:31:57 | 显示全部楼层
A Knowledge-Enabled Customized Data Modeling Platform Towards Intelligent Police Applicationsal police data, we built a public security domain knowledge model. Cooperating with the Sucheng branch of Suqian Public Security Bureau, we conducted a set of experiments with police officers on real police data. Experiment results show that the modeling platform has better user-friendliness and out
发表于 2025-3-26 03:18:26 | 显示全部楼层
发表于 2025-3-26 04:23:43 | 显示全部楼层
发表于 2025-3-26 11:07:39 | 显示全部楼层
WSNet: A Wrapper-Based Stacking Network for Multi-scenes Classification of DAppsarios, WSNet adaptively selects optimal features for different algorithms to filter out irrelevant and redundant features without human intervention, thereby improving classification efficiency. Combining with stacking technology to integrate advantages of primary learners, hence it has good perform
发表于 2025-3-26 16:11:10 | 显示全部楼层
An Energy-efficient Routing Protocol Based on Two-Layer Clustering in WSNs of Dijkstra algorithm, the theory of immune algorithm is introduced to obtain the optimal inter-cluster multi-hop routing. The simulation result shows that DKBDCERP has excellent performance in balancing node energy consumption and prolonging network lifetime.
发表于 2025-3-26 18:42:17 | 显示全部楼层
An Energy-efficient Routing Protocol Based on Two-Layer Clustering in WSNs of Dijkstra algorithm, the theory of immune algorithm is introduced to obtain the optimal inter-cluster multi-hop routing. The simulation result shows that DKBDCERP has excellent performance in balancing node energy consumption and prolonging network lifetime.
 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, 2025-5-8 21:22
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