找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Data Mining and Big Data; 7th International Co Ying Tan,Yuhui Shi Conference proceedings 2022 The Editor(s) (if applicable) and The Author(

[復制鏈接]
查看: 54540|回復: 54
樓主
發(fā)表于 2025-3-21 19:49:20 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Data Mining and Big Data
副標題7th International Co
編輯Ying Tan,Yuhui Shi
視頻videohttp://file.papertrans.cn/263/262920/262920.mp4
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: Data Mining and Big Data; 7th International Co Ying Tan,Yuhui Shi Conference proceedings 2022 The Editor(s) (if applicable) and The Author(
描述This two-volume set, CCIS 1744 and CCIS 1745 book constitutes the 7th International Conference, on Data Mining and Big Data, DMBD 2022, held in Beijing, China,?in November 21–24, 2022..The 62 full papers presented in this two-volume set included in this book were carefully reviewed and selected from 135 submissions. The papers present the latest research on?advantages in theories, technologies, and applications in data mining and big data. The volume covers many aspects of data mining and big data as well as intelligent computing methods applied to all fields of computer science, machine learning, data mining and knowledge discovery, data science, etc..
出版日期Conference proceedings 2022
關鍵詞artificial intelligence; computer hardware; computer networks; computer security; computer vision; correl
版次1
doihttps://doi.org/10.1007/978-981-19-8991-9
isbn_softcover978-981-19-8990-2
isbn_ebook978-981-19-8991-9Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

書目名稱Data Mining and Big Data影響因子(影響力)




書目名稱Data Mining and Big Data影響因子(影響力)學科排名




書目名稱Data Mining and Big Data網(wǎng)絡公開度




書目名稱Data Mining and Big Data網(wǎng)絡公開度學科排名




書目名稱Data Mining and Big Data被引頻次




書目名稱Data Mining and Big Data被引頻次學科排名




書目名稱Data Mining and Big Data年度引用




書目名稱Data Mining and Big Data年度引用學科排名




書目名稱Data Mining and Big Data讀者反饋




書目名稱Data Mining and Big Data讀者反饋學科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒有投票權限
沙發(fā)
發(fā)表于 2025-3-22 00:09:03 | 只看該作者
板凳
發(fā)表于 2025-3-22 02:50:01 | 只看該作者
地板
發(fā)表于 2025-3-22 05:45:55 | 只看該作者
HOS-YOLOv5: An Improved High-Precision Remote Sensing Image Target Detection Algorithm Based on YOLOon, and different scales of remote sensing images, when they are directly applied to remote sensing images, the detection accuracy of their targets is too low. To this end, we propose HOS-YOLOv5, an improved high-precision remote sensing image target detection algorithm based on YOLOV5, construct th
5#
發(fā)表于 2025-3-22 12:30:55 | 只看該作者
6#
發(fā)表于 2025-3-22 14:23:24 | 只看該作者
A Better Linear Model Than Regression-Line for?Data-Mining Applicationsin then the regression-line does not rotate by the same angle . except for the special case when all .’s are collinear. This makes the regression-line unsuitable as a linear model of a set of data points for applications in data mining and machine learning. We present an alternative linear model tha
7#
發(fā)表于 2025-3-22 18:42:42 | 只看該作者
8#
發(fā)表于 2025-3-22 21:54:47 | 只看該作者
Research Hotspots, Emerging Trend and Front of Fraud Detection Research: A Scientometric Analysis (1erging trends in this field. Besides scientific outputs evaluation using statistical analysis and comparative analysis, scientometric methods such as co-occurrence analysis, cocitation analysis, and coupling analysis were used to analyze the knowledge structure of Fraud detection. Results showed tha
9#
發(fā)表于 2025-3-23 04:39:16 | 只看該作者
An Algorithm of?Set-Based Differential Evolution for?Discrete Optimization Problemed for continuous optimization problem. Extending approaches in continuous space to these in discrete space with set-based representation schemes, differential evolution can adopt to discrete optimization problem. A candidate solution is defined by a crisp set and all arithmetic operations in mutati
10#
發(fā)表于 2025-3-23 09:14:30 | 只看該作者
Multi-objective Optimization Technique for RSU Deployment in the VANET. Roadside unit (RSU) complicated location, however, has an impact on the RSU network in terms of time delay, transmission efficiency, etc., making it challenging to use large-scale RSU networks. In view of this, a cooperative transmission framework is devised for data transmission in V
 關于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結 SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-13 13:17
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
双辽市| 灵璧县| 天气| 雅江县| 东兰县| 扶余县| 邵东县| 迁西县| 宁波市| 横峰县| 修文县| 博野县| 兴隆县| 壶关县| 凤阳县| 赣州市| 灌云县| 星子县| 浦东新区| 扶沟县| 莱西市| 辽阳市| 平利县| 钟祥市| 建宁县| 晋州市| 偃师市| 阳原县| 太和县| 申扎县| 连云港市| 开阳县| 玛沁县| 上思县| 新巴尔虎左旗| 永德县| 正定县| 桐乡市| 铜陵市| 尉氏县| 原阳县|