Titlebook: Database and Expert Systems Applications; 32nd International C Christine Strauss,Gabriele Kotsis,Ismail Khalil Conference proceedings 2021

industrious

书目名称Database and Expert Systems Applications影响因子(影响力)




书目名称Database and Expert Systems Applications影响因子(影响力)学科排名




书目名称Database and Expert Systems Applications网络公开度




书目名称Database and Expert Systems Applications网络公开度学科排名




书目名称Database and Expert Systems Applications被引频次




书目名称Database and Expert Systems Applications被引频次学科排名




书目名称Database and Expert Systems Applications年度引用




书目名称Database and Expert Systems Applications年度引用学科排名




书目名称Database and Expert Systems Applications读者反馈




书目名称Database and Expert Systems Applications读者反馈学科排名

Adenoma

Fast SQL/Row Pattern Recognition Query Processing Using Parallel Primitives on GPUsar, many studies have focused on developing technology to perform SQL/RPR for large-scale sequence data, such as stock chart records and system logs. However, due to the large amount of data and complex calculation problems, the processing speeds of current methods are not sufficient. In this paper,

使混合

Scalable Tabular Metadata Location and Classification in Large-Scale Structured Datasetsve thousands to millions of tables, but often have missing or incorrect labels for rows (or columns) with attribute names (e.g. .). Missing or incorrect metadata labels [.] prevent or at least significantly complicate the fundamental data management tasks such as ., and many other. Different sources

阐明

多嘴

Augmented Lineage: Traceability of Data Analysis Including Complex UDFsroposed to identify the source data from which the analysis results are derived, analysis is becoming increasingly complex both with regard to the target (e.g., images, videos, and texts) and technology (e.g., AI and machine learning). In such complex data analysis, simply showing the source data ma

PARA

PARA

A Quantum-Inspired Neural Network Model for Predictive BPaaS Managementa Service (BPaaS) model. In order to guarantee the consistency of the provisioned BPaaS, cloud providers should ensure a strategical management (e.g., allocation, migration, etc.) of their available resources (e.g., computation, storage, etc.) according to services requirements. Existing researches

FELON

Predicting Psychiatric Diseases Using AutoAI: A Performance Analysis Based on Health Insurance Billiificantly. Machine learning (ML) algorithms for improvement have been studied extensively, but automatic artificial intelligence (autoAI/autoML) has been widely neglected. AutoAI aims to automate the complete AI lifecycle to save data scientists from doing low-level coding tasks. Additionally, autoA

PAN

Improving Billboard Advertising Revenue Using Transactional Modeling and Pattern Miningisfying the advertising demands of an increased number of clients by means of exploiting the user trajectory data. Hence, we introduce the problem of billboard advertisement allocation for improving the billboard operator revenue, and propose an efficient user trajectory-based transactional framewor

lipoatrophy