Proceedings of the 25th International Database Engineering & Applications Symposium最新文献_第2页

Data Management in the Data Lake: A Systematic Mapping 数据湖中的数据管理:系统映射

Proceedings of the 25th International Database Engineering & Applications Symposium Pub Date : 2021-07-14 DOI: 10.1145/3472163.3472173

Firas Zouari, N. Kabachi, Khouloud Boukadi, C. Ghedira

引用次数: 0

Towards a continuous forecasting mechanism of parking occupancy in urban environments 探讨城市停车占用率的连续预测机制

Proceedings of the 25th International Database Engineering & Applications Symposium Pub Date : 2021-07-14 DOI: 10.1145/3472163.3472265

M. Mufida, Abdessamad Ait El Cadi, T. Delot, M. Trépanier

{"title":"Towards a continuous forecasting mechanism of parking occupancy in urban environments","authors":"M. Mufida, Abdessamad Ait El Cadi, T. Delot, M. Trépanier","doi":"10.1145/3472163.3472265","DOIUrl":"https://doi.org/10.1145/3472163.3472265","url":null,"abstract":"Searching for an available parking space is a stressful and time-consuming task, which leads to increasing traffic and environmental pollution due to the emission of gases. To solve these issues, various solutions relying on information technologies (e.g., wireless networks, sensors, etc.) have been deployed over the last years to help drivers identify available parking spaces. Several recent works have also considered the use of historical data about parking availability and applied learning techniques (e.g., machine learning, deep learning) to estimate the occupancy rates in the near future. In this paper, we not only focus on training forecasting models for different types of parking lots to provide the best accuracy, but also consider the deployment of such a service in real conditions, to solve actual parking occupancy problems. It is therefore needed to continuously provide accurate information to the drivers but also to handle the frequent updates of parking occupancy data. The underlying challenges addressed in the present work so concern (1) the self-tuning of the forecasting model hyper-parameters according to the characteristics of the considered parking lots and (2) the need to maintain the performance of the forecasting model over time. To demonstrate the effectiveness of our approach, we present in the paper several evaluations using real data provided for different parking lots by the city of Lille in France. The results of these evaluations highlight the accuracy of the forecasts and the ability of our solution to maintain model performance over time.","PeriodicalId":242683,"journal":{"name":"Proceedings of the 25th International Database Engineering & Applications Symposium","volume":"32 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114059730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

SSstory: 3D data storytelling based on SuperSQL and Unity SSstory:基于SuperSQL和Unity的3D数据叙事

Proceedings of the 25th International Database Engineering & Applications Symposium Pub Date : 2021-07-14 DOI: 10.1145/3472163.3472277

Jingrui Li, Kento Goto, Motomichi Toyama

引用次数: 1

Multi-Model Data Modeling and Representation: State of the Art and Research Challenges 多模型数据建模与表示:现状与研究挑战

Proceedings of the 25th International Database Engineering & Applications Symposium Pub Date : 2021-07-14 DOI: 10.1145/3472163.3472267

I. Holubová, Pavel Contos, M. Svoboda

引用次数: 6

Software Quality Assessment of a Web Application for Biomedical Data Analysis 生物医学数据分析Web应用的软件质量评估

Proceedings of the 25th International Database Engineering & Applications Symposium Pub Date : 2021-07-14 DOI: 10.1145/3472163.3472172

L. Wiese, Ingmar Wiese, Kristina Lietz

引用次数: 2

Data Mining Autosomal Archaeogenetic Data to Determine Minoan Origins 数据挖掘常染色体考古遗传学数据，以确定米诺斯起源

Proceedings of the 25th International Database Engineering & Applications Symposium Pub Date : 2021-07-14 DOI: 10.1145/3472163.3472178

P. Revesz

引用次数: 4

MANTIS: Multiple Type and Attribute Index Selection using Deep Reinforcement Learning MANTIS:使用深度强化学习的多类型和属性索引选择

Proceedings of the 25th International Database Engineering & Applications Symposium Pub Date : 2021-07-14 DOI: 10.1145/3472163.3472176

V. Sharma, C. Dyreson, N. Flann

{"title":"MANTIS: Multiple Type and Attribute Index Selection using Deep Reinforcement Learning","authors":"V. Sharma, C. Dyreson, N. Flann","doi":"10.1145/3472163.3472176","DOIUrl":"https://doi.org/10.1145/3472163.3472176","url":null,"abstract":"DBMS performance is dependent on many parameters, such as index selection, cache size, physical layout, and data partitioning. Some combinations of these parameters can lead to optimal performance for a given workload but selecting an optimal or near-optimal combination is challenging, especially for large databases with complex workloads. Among the hundreds of parameters, index selection is arguably the most critical parameter for performance. We propose a self-administered framework, called the Multiple Type and Attribute Index Selector (MANTIS), that automatically selects near-optimal indexes. The framework advances the state-of-the-art index selection by considering both multi-attribute and multiple types of indexes within a bounded storage size constraint, a combination not previously addressed. MANTIS combines supervised and reinforcement learning, a Deep Neural Network recommends the type of index for a given workload while a Deep Q-Learning network recommends the multi-attribute aspect. MANTIS is sensitive to storage cost constraints and incorporates noisy rewards in its reward function for better performance. Our experimental evaluation shows that MANTIS outperforms the current state-of-art methods by an average of 9.53% QphH@size.","PeriodicalId":242683,"journal":{"name":"Proceedings of the 25th International Database Engineering & Applications Symposium","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117076129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

SQL-like query language and referential constraints on tree-structured data 类似sql的查询语言和树形结构数据的引用约束

Proceedings of the 25th International Database Engineering & Applications Symposium Pub Date : 2021-07-14 DOI: 10.1145/3472163.3472184

F. Afrati, M. Damigos, Nikos Stasinopoulos

引用次数: 0

Sentimental Analysis Applications and Approaches during COVID-19: A Survey 情感分析在COVID-19中的应用和方法:调查

Proceedings of the 25th International Database Engineering & Applications Symposium Pub Date : 2021-07-14 DOI: 10.1145/3472163.3472274

Areeba Umair, E. Masciari, Muhammad Habib Ullah

引用次数: 7

Priority-Based Skyline Query Processing for Incomplete Data 基于优先级的不完整数据Skyline查询处理

Proceedings of the 25th International Database Engineering & Applications Symposium Pub Date : 2021-07-14 DOI: 10.1145/3472163.3472272

ChuangMing Liu, Denis Pak, Ari Ernesto Ortiz Castellanos

引用次数: 0