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: Computational Intelligence and Intelligent Systems; 6th International Sy Zhenhua Li,Xiang Li,Zhihua Cai Conference proceedings 2012 Springe

[复制链接]
楼主: 重要
发表于 2025-3-30 11:46:35 | 显示全部楼层
发表于 2025-3-30 16:19:29 | 显示全部楼层
发表于 2025-3-30 20:35:28 | 显示全部楼层
发表于 2025-3-30 23:50:54 | 显示全部楼层
Applying Support Vector Machine to Time Series Prediction in Oracletruct SVM prediction model according to the time series data. Comparing with the traditional time series prediction model, SVM prediction models can reveal non-linear, non-stationary and randomness of the time series, and have higher prediction accuracy.
发表于 2025-3-31 03:45:52 | 显示全部楼层
Dynamic FP-Tree Pruning for Concurrent Frequent Itemsets Miningonstruction of FP-tree and the discovery of frequent itemsets can be realized simultaneously. Compared with FP-growth, it is not necessary to mine frequent itemsets after the construction of the whole FP-tree in Dynamic-prune. Experimental results show Dynamic-prune is efficient and scalable.
发表于 2025-3-31 08:59:00 | 显示全部楼层
MapReduce-Based Bayesian Automatic Text Classifier Used in Digital Librarynhance the overall efficiency. The new method can classify documents into different groups according to its subject. In this way, it is helpful for management and storage of information. Thus Mapreduce-based Bayesian text classifier can be used in digital library successfully which will provide better service for people.
发表于 2025-3-31 11:14:30 | 显示全部楼层
发表于 2025-3-31 13:21:23 | 显示全部楼层
Preferences Predictions of Learning Objects Supported by Collaborative Recommendationsceive recommendations based on outcomes of tests they have already taken. In this paper we explore methods from formal concept analysis for predicting students’ preferences with respect to learning objects going to be suggested to them before they have taken relevant tests.
发表于 2025-3-31 21:29:46 | 显示全部楼层
发表于 2025-4-1 00:28:58 | 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, 2025-6-28 03:53
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