標題: Titlebook: Advances in Spatial and Temporal Databases; 15th International S Michael Gertz,Matthias Renz,Siva Ravada Conference proceedings 2017 Spring [打印本頁] 作者: Lensometer 時間: 2025-3-21 19:41
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)學科排名
書目名稱Advances in Spatial and Temporal Databases網(wǎng)絡公開度
書目名稱Advances in Spatial and Temporal Databases網(wǎng)絡公開度學科排名
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讀者反饋學科排名
作者: Palate 時間: 2025-3-21 23:21
0302-9743 efully reviewed and selected from 90 submissions. The papers are organized around the current research on concepts, tools, and techniques related to spatial and temporal databases.?978-3-319-64366-3978-3-319-64367-0Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Ordnance 時間: 2025-3-22 01:57 作者: 推遲 時間: 2025-3-22 07:10
Statistical Modeling of Texture Sketchmensions and Spatio-Temporal Functional Dependencies as first class-citizens for designing sensor databases on top of any relational database management system. We propose an axiomatisation of these dependencies and the associated attribute closure algorithm, leading to a new normalization algorithm.作者: 制定 時間: 2025-3-22 11:02 作者: Paleontology 時間: 2025-3-22 14:31 作者: 發(fā)炎 時間: 2025-3-22 21:02 作者: backdrop 時間: 2025-3-22 23:43 作者: 漂浮 時間: 2025-3-23 04:10 作者: alcoholism 時間: 2025-3-23 08:20 作者: 上流社會 時間: 2025-3-23 13:28 作者: 溫順 時間: 2025-3-23 16:03 作者: TEN 時間: 2025-3-23 20:34
GeoWave: Utilizing Distributed Key-Value Stores for Multidimensional Dataguous in the single dimensional keys of the datastore. By using various forms of geospatial data, we show that preserving locality in this way reduces the time needed to query, analyze, and render large amounts of data by multiple orders of magnitude.作者: Gastric 時間: 2025-3-23 23:55 作者: DEMN 時間: 2025-3-24 05:30 作者: 高談闊論 時間: 2025-3-24 08:16 作者: QUAIL 時間: 2025-3-24 13:43 作者: dermatomyositis 時間: 2025-3-24 16:12 作者: 橡子 時間: 2025-3-24 22:05
GeoWave: Utilizing Distributed Key-Value Stores for Multidimensional Datadue to the implicit challenges of spatial and spatiotemporal data. Chief among these issues is preserving locality between multidimensional objects and the single dimensional sort order imposed by key-value stores. We will use the open source framework GeoWave to harness the scalability of various d作者: 奇怪 時間: 2025-3-25 01:25
Sweeping-Based Temporal Aggregationsal index for temporal database systems. Here we present a family of plane-sweeping algorithms that extend the set of operators supported by Timeline-Index-based databases to temporal aggregation on fixed intervals, such as a sliding windows or GROUP BY ROLLUP aggregation, and improve the existing a作者: 拋棄的貨物 時間: 2025-3-25 04:03 作者: debble 時間: 2025-3-25 07:59
Towards Spatially- and Category-Wise ,-Diverse Nearest Neighbors Queries concern regarding diversity of the answer set, even though in some scenarios it may be interesting. For instance, travelers may be looking for touristic sites that are not too far from where they are but that would help them seeing different parts of the city. Likewise, if one is looking for restau作者: strain 時間: 2025-3-25 12:49 作者: installment 時間: 2025-3-25 16:31
Location-Aware Query Recommendation for Search Engines at Scaleropping prices of smartphones and the increasing coverage and bandwidth of mobile networks, a large percentage of search engine queries are issued from mobile devices. This makes it possible to provide better query recommendations by considering the physical locations of the query issuers. However, 作者: Flustered 時間: 2025-3-25 21:34
Top-, Taxi Recommendation in Realtime Social-Aware Ridesharing Services social-awareness into realtime ridesharing services. In particular, upon receiving a user’s trip request, the service ranks feasible taxis in a way that integrates detour in time and passengers’ cohesion in social distance. We propose a new system framework to support such a social-aware taxi-shari作者: 破譯密碼 時間: 2025-3-26 00:09 作者: Arctic 時間: 2025-3-26 05:35
Grid-Based Colocation Mining Algorithms on GPU for Big Spatial Event Data: A Summary of Resultsse instances are frequently located together. The problem is important in many applications such as analyzing relationships of crimes or disease with various environmental factors, but is computationally challenging due to a large number of instances, the potentially exponential number of candidate 作者: 修改 時間: 2025-3-26 09:24 作者: 狂怒 時間: 2025-3-26 13:02
978-3-319-64366-3Springer International Publishing AG 2017作者: bourgeois 時間: 2025-3-26 17:02 作者: 復習 時間: 2025-3-26 22:02 作者: theta-waves 時間: 2025-3-27 02:52
Multiple constraints for optical flow, on expanding partial solutions in a systematic way, prioritizing promising ones, which reduces the search space we have to traverse during the search. The category constraints help in reducing the space we have to explore even further. We implement an algorithm that computes the optimal solution an作者: Veneer 時間: 2025-3-27 05:30
Lecture Notes in Computer Scienceevices constantly track their positions. This work examines the question whether publicly available spatio-temporal user data can be used to link newly observed location data to known user profiles. For this study, publicly available location information about Twitter users is used to construct spat作者: 幼稚 時間: 2025-3-27 09:41
James H. Elder,Steven W. Zuckertandard SQL interface, and by providing a high efficient core built inside the core of the Apache Impala system. Sphinx is composed of four main layers, namely, ., ., ., and .. The . injects spatial data types and functions in the SQL interface of Sphinx. The . creates spatial indexes in Sphinx by a作者: 畢業(yè)典禮 時間: 2025-3-27 13:52 作者: 肉身 時間: 2025-3-27 21:08
James H. Elder,Steven W. Zuckerdue to the implicit challenges of spatial and spatiotemporal data. Chief among these issues is preserving locality between multidimensional objects and the single dimensional sort order imposed by key-value stores. We will use the open source framework GeoWave to harness the scalability of various d作者: patriot 時間: 2025-3-28 00:26 作者: incarcerate 時間: 2025-3-28 04:44 作者: 肌肉 時間: 2025-3-28 09:30 作者: ARIA 時間: 2025-3-28 11:37 作者: 咆哮 時間: 2025-3-28 16:24 作者: 預知 時間: 2025-3-28 20:13
https://doi.org/10.1007/3-540-55426-2 social-awareness into realtime ridesharing services. In particular, upon receiving a user’s trip request, the service ranks feasible taxis in a way that integrates detour in time and passengers’ cohesion in social distance. We propose a new system framework to support such a social-aware taxi-shari作者: 專心 時間: 2025-3-29 01:36 作者: Bmd955 時間: 2025-3-29 07:08 作者: 低能兒 時間: 2025-3-29 10:54 作者: 我怕被刺穿 時間: 2025-3-29 14:17 作者: Charade 時間: 2025-3-29 16:03 作者: implore 時間: 2025-3-29 21:57
Multi-user Itinerary Planning for Optimal Group Preferencese one approximate solution with bounded approximation ratio and one exact solution which computes the optimal itinerary by exploring a limited number of paths in the road network. In addition, an effective compression algorithm is developed to reduce the size of the network, providing a significant作者: Indicative 時間: 2025-3-30 02:21
On Privacy in Spatio-Temporal Data: User Identification Using Microblog Datat prolific 500 of these users. Furthermore, it can correctly identify more than 50% of any users by using three observations of these users, rather than their whole location trace. This alarming result shows that spatio-temporal data is highly discriminative, thus putting the privacy of hundreds of 作者: 抗體 時間: 2025-3-30 06:00 作者: 畏縮 時間: 2025-3-30 12:11
Indexing the Pickup and Drop-Off Locations of NYC Taxi Trips in PostgreSQL – Lessons from the Roade experimental evaluation results and highlights the key insights and lessons learned. The results emphasize the fact that there is no one size that fits all when it comes to indexing massive-scale spatial data. The results also prove that modern database systems can maintain a lightweight index (in作者: paroxysm 時間: 2025-3-30 15:53 作者: 注射器 時間: 2025-3-30 16:59 作者: ACTIN 時間: 2025-3-31 00:14
Top-, Taxi Recommendation in Realtime Social-Aware Ridesharing Services well as algorithms to find feasible cases efficiently. We evaluate our proposals using a real taxi dataset from New York City. Experimental results demonstrate the efficiency and scalability of the proposed taxi recommendation solution in real-time social-aware ridesharing services.作者: 矛盾心理 時間: 2025-3-31 02:28 作者: 愛哭 時間: 2025-3-31 08:11
Grid-Based Colocation Mining Algorithms on GPU for Big Spatial Event Data: A Summary of Resultshich is economically expensive, and their reducer nodes have a bottleneck of aggregating all instances of the same colocation patterns. Another work proposes a parallel colocation mining algorithm on GPU based on the iCPI tree and the joinless approach, but assumes that the number of neighbors for e
