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: Advances in Spatial and Temporal Databases; 9th International Sy Claudia Bauzer Medeiros,Max J. Egenhofer,Elisa Ber Conference proceedings

[復(fù)制鏈接]
查看: 37778|回復(fù): 63
樓主
發(fā)表于 2025-3-21 18:42:29 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Advances in Spatial and Temporal Databases
期刊簡稱9th International Sy
影響因子2023Claudia Bauzer Medeiros,Max J. Egenhofer,Elisa Ber
視頻videohttp://file.papertrans.cn/150/149842/149842.mp4
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Advances in Spatial and Temporal Databases; 9th International Sy Claudia Bauzer Medeiros,Max J. Egenhofer,Elisa Ber Conference proceedings
影響因子It is our great pleasure to introduce the papers of the proceedings of the 9th - ternational Symposium on Spatial and Temporal Databases – SSTD 2005. This year’s symposium continues the tradition of being the premier forum for the presentation of research results and experience reports on leading edge issues of spatialandtemporaldatabasesystems, including data models,systems,appli- tions and theory. The mission of the symposium is to share innovative solutions that ful?ll the needs of novel applications and heterogeneous environments and identify new directions for future research and development. SSTD 2005 gives researchers and practitioners a unique opportunity to share their perspectives with others interested in the various aspects of database systems for managing spatial and temporal data and for supporting their applications. A total of 77 papers were submitted this year from several countries. After a thorough review process, the program committee accepted 24 papers covering a variety of topics, including indexing techniques and query processing, mobile environments and moving objects, and spatial and temporal data streams. We are very pleased with the variety of the symposi
Pindex Conference proceedings 2005
The information of publication is updating

書目名稱Advances in Spatial and Temporal Databases影響因子(影響力)




書目名稱Advances in Spatial and Temporal Databases影響因子(影響力)學(xué)科排名




書目名稱Advances in Spatial and Temporal Databases網(wǎng)絡(luò)公開度




書目名稱Advances in Spatial and Temporal Databases網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Advances in Spatial and Temporal Databases被引頻次




書目名稱Advances in Spatial and Temporal Databases被引頻次學(xué)科排名




書目名稱Advances in Spatial and Temporal Databases年度引用




書目名稱Advances in Spatial and Temporal Databases年度引用學(xué)科排名




書目名稱Advances in Spatial and Temporal Databases讀者反饋




書目名稱Advances in Spatial and Temporal Databases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 23:11:08 | 只看該作者
板凳
發(fā)表于 2025-3-22 01:32:38 | 只看該作者
地板
發(fā)表于 2025-3-22 05:27:59 | 只看該作者
Evaluation of a Dynamic Tree Structure for Indexing Query Regions on Streaming Geospatial Datat data to more general spatial extents in which the incoming imagery can be single pixels, rows of pixels, or discrete parts of images. The . exploits spatial trends in incoming RSI data to efficiently filter the data of interest to the individual query regions. Experimental results using random inp
5#
發(fā)表于 2025-3-22 10:00:35 | 只看該作者
6#
發(fā)表于 2025-3-22 13:13:20 | 只看該作者
Accurate and Efficient Similarity Search on 3D Objects Using Point Sampling, Redundancy, and Proportular, we experimentally confirm that our point sampling method is better suited to represent 3D objects in the context of rotation invariance than voxelized representations. In addition, we empirically show that our new similarity model significantly outperfoms competitive rotation invariant models
7#
發(fā)表于 2025-3-22 19:29:34 | 只看該作者
8#
發(fā)表于 2025-3-22 23:34:47 | 只看該作者
9#
發(fā)表于 2025-3-23 05:18:58 | 只看該作者
On Trip Planning Queries in Spatial Databasesnumber of points per category or both. Therefore, for different instances of the problem, we can choose the algorithm with the best approximation ratio, since they all run in polynomial time. Furthermore, we use some of the proposed algorithms to derive efficient heuristics for large datasets stored
10#
發(fā)表于 2025-3-23 05:43:18 | 只看該作者
Capacity Constrained Routing Algorithms for Evacuation Planning: A Summary of Resultsstraints. It addresses the limitations of linear programming approach by using only the original evacuation network and it does not require prior knowledge of evacuation time. Performance evaluation on various network configurations shows that the CCRP algorithm produces high quality solutions, and
 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(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| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-11-1 05:16
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
阳信县| 逊克县| 舞阳县| 万州区| 米泉市| 尉犁县| 文化| 湟中县| 玉环县| 安丘市| 饶河县| 读书| 政和县| 司法| 都兰县| 聂拉木县| 平邑县| 乐安县| 南平市| 阿合奇县| 馆陶县| 普宁市| 木里| 浠水县| 建平县| 抚远县| 平江县| 皮山县| 乐安县| 赤城县| 莒南县| 平果县| 当雄县| 苗栗县| 宜兰市| 疏勒县| 凤翔县| 罗城| 忻城县| 镇平县| 和林格尔县|