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| Titolo: |
Databases Theory and Applications : 33rd Australasian Database Conference, ADC 2022, Sydney, NSW, Australia, September 2–4, 2022, Proceedings / / edited by Wen Hua, Hua Wang, Lei Li
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| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Edizione: | 1st ed. 2022. |
| Descrizione fisica: | 1 online resource (223 pages) |
| Disciplina: | 005.7 |
| 005.74 | |
| Soggetto topico: | Database management |
| Data structures (Computer science) | |
| Information theory | |
| Computer networks | |
| Database Management System | |
| Database Management | |
| Data Structures and Information Theory | |
| Computer Communication Networks | |
| Persona (resp. second.): | HuaWen |
| WangHua | |
| LiLei, Dr. | |
| Nota di bibliografia: | Includes bibliographical references and index. |
| Nota di contenuto: | On International Chinese Education Index Ranking in A Global Perspective -- Multi-objective Social Network Detection - A Graph Database Supported NSGA-II Based Approach -- Full Research Papers A Top-Down Scheme for Coverage Centrality Queries on Road Networks -- Personalized Arrhythmia Detection based on Lightweight Autoencoder and Variational Autoencoder -- Efficient kNN Join over Dynamic High-dimensional Data -- Diverse Shortest Paths in Game Maps: A Comparative User Study and Experiments -- Predicting Taxi Hotspots in Dynamic Conditions using Graph Neural Network -- Analysing big brain signal data for advanced Brain Computer Interface system -- Hop-constrained s-t Simple Path Enumeration in Large Uncertain Graphs -- Improving Eco-Friendly Routing Considering Detailed Mobility Profiles, Driving Behavior and Vehicle Type -- Real-time Detection and Visualization of Traffic Conditions by Mining Twitter Data -- FluMA: An Intelligent Platform for Influenza Monitoring and Analysiss -- Enhancingsystem security by Intrusion Detection using Deep learning -- . . . 148 Lakshit Sama and Hua Wang Challenges in Electroencephalography Data Processing Using Machine Learning Approaches -- Database States Exhibiting Tree Projection Necessity -- Comparative Study of Transformer Models -- Removing Performance Bottleneck of Timestamp Allocation in Two-Phase Locking based Protocol -- Performance prediction of songs on online music platforms -- Artificial Intelligence -- Bloom Filters and Hashing -- Clustering and Classification -- Data Mining and Knowledge Discovery -- Feature Selection -- High-Dimensional and Temporal Data -- Information Retrieval -- Medical Technologies -- Neural Networks -- Query Processing and Optimization -- Recommender Systems -- Social Data Management -- Social Networks -- Spatial Data Processing and Management -- Stream and Sensor Data Management. |
| Sommario/riassunto: | This book constitutes the refereed proceedings of the 33rd International Conference on Databases Theory and Applications, ADC 2022, held in Sydney, Australia, in September 2022. The conference is co-located with the 48th International Conference on Very Large Data Bases, VLDB 2022. The 9 full papers presented together with 8 short papers were carefully reviewed and selected from 36 submissions. ADC focuses on database systems, data-driven applications, and data analytics. |
| Titolo autorizzato: | Databases Theory and Applications ![]() |
| ISBN: | 9783031155123 |
| 3031155122 | |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910591030403321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |