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: Database Systems for Advanced Applications; 24th International C Guoliang Li,Jun Yang,Yongxin Tong Conference proceedings 2019 Springer Nat

[復(fù)制鏈接]
查看: 8311|回復(fù): 57
樓主
發(fā)表于 2025-3-21 19:36:23 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Database Systems for Advanced Applications
副標(biāo)題24th International C
編輯Guoliang Li,Jun Yang,Yongxin Tong
視頻videohttp://file.papertrans.cn/264/263419/263419.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Database Systems for Advanced Applications; 24th International C Guoliang Li,Jun Yang,Yongxin Tong Conference proceedings 2019 Springer Nat
描述.This two-volume set LNCS 11446 and LNCS 11447 constitutes the refereed proceedings of the 24th International Conference on Database Systems for Advanced Applications, DASFAA 2019, held in Chiang Mai, Thailand, in April 2019...The 92 full papers and 64 short papers were carefully selected from a total of 501 submissions. In addition, 13 demo papers and 6 tutorial papers are included. The full papers are organized in the following topics: big data; clustering and classification; crowdsourcing; data integration; embedding; graphs; knowledge graph; machine learning; privacy and graph; recommendation; social network; spatial; and spatio-temporal. The short papers, demo papers, and tutorial papers can be found in the volume LNCS 11448, which also includes the workshops of DASFAA 2019..
出版日期Conference proceedings 2019
關(guān)鍵詞artificial intelligence; computational linguistics; computer networks; data mining; data stream; image pr
版次1
doihttps://doi.org/10.1007/978-3-030-18576-3
isbn_softcover978-3-030-18575-6
isbn_ebook978-3-030-18576-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

書目名稱Database Systems for Advanced Applications影響因子(影響力)




書目名稱Database Systems for Advanced Applications影響因子(影響力)學(xué)科排名




書目名稱Database Systems for Advanced Applications網(wǎng)絡(luò)公開度




書目名稱Database Systems for Advanced Applications網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Database Systems for Advanced Applications被引頻次




書目名稱Database Systems for Advanced Applications被引頻次學(xué)科排名




書目名稱Database Systems for Advanced Applications年度引用




書目名稱Database Systems for Advanced Applications年度引用學(xué)科排名




書目名稱Database Systems for Advanced Applications讀者反饋




書目名稱Database Systems for Advanced Applications讀者反饋學(xué)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(quán)限
沙發(fā)
發(fā)表于 2025-3-21 22:30:48 | 只看該作者
A Frequency Scaling Based Performance Indicator Framework for Big Data Systemsn misleading and incomparable with each other. In this paper, a novel indicator framework which can directly compare the impact of different indicators with each other is proposed to identify and analyze the performance bottleneck efficiently. A methodology which can construct the indicator from the
板凳
發(fā)表于 2025-3-22 03:42:44 | 只看該作者
A Time-Series Sockpuppet Detection Method for Dynamic Social Relationshipssors. Current works are continually making efforts to detect sockpuppets based on verbal, non-verbal or network-structure features. Network structure has attracted much attention, while the time series dynamic characteristic of sockpuppet network has not been considered. With our observation, after
地板
發(fā)表于 2025-3-22 05:04:01 | 只看該作者
5#
發(fā)表于 2025-3-22 09:40:57 | 只看該作者
HSDS: An Abstractive Model for Automatic Survey Generationend of the specific area. As far as we know, the most relevant study with automatic survey generation is the task of automatic related work generation. Almost all existing methods of automatic related work generation extract the important sentences from multiple relevant papers to assemble a related
6#
發(fā)表于 2025-3-22 13:59:49 | 只看該作者
7#
發(fā)表于 2025-3-22 19:57:38 | 只看該作者
Discovering Relationship Patterns Among Associated Temporal Event Sequences analysis, and banking transaction analysis. Contrast sequence data mining is useful in describing the differences between two sets (classes) of sequences. However, in prior studies, little work has been done in how to mine the patterns from sequences formed by associated temporal events, where ther
8#
發(fā)表于 2025-3-22 21:34:28 | 只看該作者
9#
發(fā)表于 2025-3-23 03:47:00 | 只看該作者
10#
發(fā)表于 2025-3-23 07:01:51 | 只看該作者
 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 投稿經(jīng)驗總結(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| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-13 07:51
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
日喀则市| 克什克腾旗| 高唐县| 政和县| 随州市| 凤山市| 焦作市| 杭锦后旗| 牡丹江市| 正阳县| 林口县| 安西县| 福州市| 晋宁县| 河西区| 长泰县| 安陆市| 泸溪县| 毕节市| 杂多县| 大丰市| 宣汉县| 内黄县| 阿合奇县| 寿宁县| 上饶市| 琼结县| 沾益县| 田东县| 丰都县| 郓城县| 永丰县| 乌什县| 石首市| 新巴尔虎右旗| 镇沅| 外汇| 永善县| 南澳县| 武川县| 元氏县|