找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Big Data Analyses, Services, and Smart Data; Wookey Lee,Carson K. Leung,Aziz Nasridinov Conference proceedings 2021 Springer Nature Singap

[復(fù)制鏈接]
樓主: mortality
11#
發(fā)表于 2025-3-23 12:37:49 | 只看該作者
Analysis of the Effects of Nature and Facility Environmental Attributes on the Cause of Death from th by disease, while harmful materials and facilities have positive correlations. Through this study, we hope that people will recognize the importance of protecting the natural environment and the risks of harmful substances.
12#
發(fā)表于 2025-3-23 17:45:02 | 只看該作者
Conference proceedings 2021ional Conference on Big Data Applications and Services (BigDAS 2018), as well as (iii) extended papers from the Sixth IEEE International Conference on Big Data and Smart Computing (IEEE BigComp 2019). The aim of BigDAS is to present innovative results, encourage academic and industrial interaction,
13#
發(fā)表于 2025-3-23 18:38:42 | 只看該作者
Ependymal and Paraphyseal Cysts,er temporal trends in text stream. In this paper, we propose TextRank_nfidf which reflects temporal trends into phrase node weights, by computing smoothed difference of editing frequency between revisions. We confirm that detected bursts and keyphrases are matching well with events along the timeline.
14#
發(fā)表于 2025-3-24 00:39:21 | 只看該作者
Hajime Arai,Kiyoshi Sato,Anthony J. Raimondi textual data is becoming very useful. In this paper, we present an application that can detect four distinct emotions from Twitter posts. They are joy, anger, fear, and sadness. The evaluation result shows the accuracy and applicability of our application.
15#
發(fā)表于 2025-3-24 05:28:42 | 只看該作者
16#
發(fā)表于 2025-3-24 09:31:31 | 只看該作者
17#
發(fā)表于 2025-3-24 11:22:00 | 只看該作者
18#
發(fā)表于 2025-3-24 17:33:07 | 只看該作者
19#
發(fā)表于 2025-3-24 22:12:19 | 只看該作者
20#
發(fā)表于 2025-3-25 01:25:36 | 只看該作者
2194-5357 h International Conference on Big Data Applications and Services (BigDAS 2018), as well as (iii) extended papers from the Sixth IEEE International Conference on Big Data and Smart Computing (IEEE BigComp 2019). The aim of BigDAS is to present innovative results, encourage academic and industrial int
 關(guān)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(wù)流程 影響因子官網(wǎng) 吾愛(ài)論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-14 00:23
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
清涧县| 呈贡县| 凤阳县| 新民市| 荥经县| 铜陵市| 岗巴县| 吉安县| 沁水县| 灵川县| 阳高县| 凤凰县| 南投市| 河东区| 宜春市| 浦县| 桓仁| 永济市| 青神县| 南投市| 阿尔山市| 武宣县| 无为县| 上林县| 错那县| 竹北市| 永济市| 宽城| 杂多县| 读书| 潞西市| 皋兰县| 景宁| 自治县| 五峰| 彭山县| 张家界市| 花垣县| 永州市| 南川市| 青州市|