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 Mining and Big Data; First International Ying Tan,Yuhui Shi Conference proceedings 2016 Springer International Publishing Switzerland

[复制链接]
楼主: ABS
发表于 2025-3-28 15:00:35 | 显示全部楼层
https://doi.org/10.1007/978-94-6265-186-9ix into topic-matrix. In this paper, we propose a framework integrating LDA and AdaBoost, and test it with two Chinese Language corpora. Experiments show that our method outperforms the traditional AdaBoost using BOW model.
发表于 2025-3-28 20:38:14 | 显示全部楼层
发表于 2025-3-29 00:26:46 | 显示全部楼层
发表于 2025-3-29 05:20:04 | 显示全部楼层
Colliding Galaxies: The Discovery,ith the proposed one based on the prediction accuracy. A survival analysis study for a span of 13 years was also done by comparing with MELD an actual dataset. The reported results indicate that the proposed model is suitable for long term survival analysis after liver transplantation.
发表于 2025-3-29 08:55:45 | 显示全部楼层
Prospects and Challenges in Online Data Miningnce efforts, hardware and network resources, multitude and diversity of data sources, disparity between real world and Internet. Finally, we describe some examples of the intelligent system application, in particular analyzing labour market data for several regions.
发表于 2025-3-29 14:02:07 | 显示全部楼层
发表于 2025-3-29 17:45:08 | 显示全部楼层
发表于 2025-3-29 23:44:48 | 显示全部楼层
Reconstructing Positive Surveys from Negative Surveys with Background Knowledgekground knowledge. Moreover, we propose a method for evaluating the dependable level of the positive survey reconstructed with background knowledge. Experimental results show that more reasonable and accurate positive surveys could be obtained using our methods.
发表于 2025-3-30 00:06:04 | 显示全部楼层
Prediction and Survival Analysis of Patients After Liver Transplantation Using RBF Networksith the proposed one based on the prediction accuracy. A survival analysis study for a span of 13 years was also done by comparing with MELD an actual dataset. The reported results indicate that the proposed model is suitable for long term survival analysis after liver transplantation.
发表于 2025-3-30 07:40:39 | 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, 2025-6-25 01:22
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